@inproceedings{inproceedings,

title = {A Self-Learning Approach for Detecting Intrusions in Healthcare Systems},

author = {Panagiotis Radoglou Grammatikis and Panagiotis Sarigiannidis and George Efstathopoulos and Thomas Lagkas and George Fragulis and Antonios Sarigiannidis},

url = {https://www.researchgate.net/publication/349158703_A_Self-Learning_Approach_for_Detecting_Intrusions_in_Healthcare_Systems/references},

year  = {2021},

date = {2021-01-01},

booktitle = {IEEE International Conference on Communications},

abstract = {The rapid evolution of the Internet of Medical Things (IoMT) introduces the healthcare ecosystem into a new reality consisting of smart medical devices and applications that provide multiple benefits, such as remote medical assistance, timely administration of medication, real-time monitoring, preventive care and health education. However, despite the valuable advantages, this new reality increases the cybersecurity and privacy concerns since vulnerable IoMT devices can access and handle autonomously patients’ data. Furthermore, the continuous evolution of cyberattacks, malware and zero-day vulnerabilities require the development of the appropriate countermeasures. In the light of the aforementioned remarks, in this paper, we present an Intrusion Detection and Prevention System (IDPS), which can protect the healthcare communications that rely on the Hypertext Transfer Protocol (HTTP) and the Modbus/Transmission Control Protocol (TCP). HTTP is commonly adopted by conventional ICT healthcare-related services, such as web-based Electronic Health Record (EHR) applications, while Modbus/TCP is an industrial protocol adopted by IoMT. Although the Machine Learning (ML) and Deep Learning (DL) methods have already demonstrated their efficacy in detecting intrusions, the rarely available intrusion detection datasets (especially in the healthcare sector) complicate their global application. The main contribution of this work lies in the fact that an active learning approach is modelled and adopted in order to re-train dynamically the supervised classifiers behind the proposed IDPS. The evaluation analysis demonstrates the efficiency of this work against HTTP and Modbus/TCP cyberattacks, showing also how the entire accuracy is increased in the various re-training phases.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-030-49932-7_57,

title = {Interactive Serious Games for Cultural Heritage},

author = {Dimitrios Margounakis and Themistoklis Karalis and Theodoros Iliou},

editor = {Michael E Auer and Thrasyvoulos Tsiatsos},

url = {https://link.springer.com/chapter/10.1007/978-3-030-49932-7_57},

isbn = {978-3-030-49932-7},

year  = {2021},

date = {2021-01-01},

booktitle = {Internet of Things, Infrastructures and Mobile Applications},

pages = {606--617},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {Interactive Music Video Games are games in which music plays a leading role. This paper presents an interactive serious music game about Rebetiko and Greek folk music and has as its primary musical instrument a traditional string instrument: the bouzouki. The user can play the bouzouki piece, aided by visual stimuli representing the notes and by the music itself that acts as acoustic stimuli at the same time. A special interface -- controller was created for the application needs by modifying a keyboard, which the user can hold like a bouzouki. These mechanisms, along with other elements of the gameplay, give the user the feeling that they are playing the bouzouki themselves in the rebetiko song being played. In addition, the application also has an educational dimension. The playing style comprises an introduction to playing a stringed musical instrument, as it involves movements that simulate pressing the frets and hitting the strings of the instrument. The user also encounters musical elements such as tonality, harmony and rhythm. Finally, the game incorporates information about Rebetiko and folk music, directly intertwined with the songs the user plays, offering an integrated experience.},

keywords = {Interactive music games, Rebetiko Greek folk music, User interfaces, Video games and education},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-030-49932-7_5,

title = {Interactive TV and Music Education},

author = {Rafail Tzimas and Dimitrios Margounakis and Dionysios Politis and Nektarios-Kyriakos Paris},

editor = {Michael E Auer and Thrasyvoulos Tsiatsos},

url = {https://link.springer.com/chapter/10.1007/978-3-030-49932-7_5},

isbn = {978-3-030-49932-7},

year  = {2021},

date = {2021-01-01},

booktitle = {Internet of Things, Infrastructures and Mobile Applications},

pages = {45--53},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {Music Learning online has been promoted the last decades as an Interactive methodology with considerable outcomes, in terms of efficiency, effectiveness and attainment of popularity. However, a situation where no noticeable progress would be inferred as accredited benefit of massive learning was reported a decade ago. The advent of mobile computing communication proved a forceful exertion to situated learning in music having the power to influence the acquisition of music knowledge and skills. The case of a novel Byzantine Music learning protocol is examined for its potential to achieve relatively a big ``crop'' from rather limited in extend lessons but with the capacity to have a significant effect on the context of musical instruction.},

keywords = {Byzantine music, Massive, Mobile communication, Online learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {Data Visualization in Internet of Things: Tools, Methodologies, and Challenges},

author = {Antonis Protopsaltis and Panagiotis Sarigiannidis and Dimitrios Margounakis and Anastasios Lytos},

url = {https://www.researchgate.net/publication/343935293_Data_Visualization_in_Internet_of_Things_Tools_Methodologies_and_Challenges},

doi = {10.1145/3407023.3409228},

year  = {2020},

date = {2020-01-01},

booktitle = {ARES 2020: The 15th International Conference on Availability, Reliability and Security},

abstract = {As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks emerged monitoring a wide range of infrastructure, in various domains such as healthcare, energy, transportation, smart city, building automation, agriculture, and industry producing continuously streamlines of data. Big Data technologies play a significant role within IoT processes, as visual analytics tools, generating valuable knowledge in real-time in order to support critical decision making. This paper provides a comprehensive survey of visualization methods, tools, and techniques for the IoT. We position data visualization inside the visual analytics process by reviewing the visual analytics pipeline. We provide a study of various chart types available for data visualization and analyze rules for employing each one of them, taking into account the special conditions of the particular use case. We further examine some of the most promising visualization tools. Since each IoT domain is isolated in terms of Big Data approaches, we investigate visualization issues in each domain. Additionally, we review visualization methods oriented to anomaly detection. Finally, we provide an overview of the major challenges in IoT visualizations.},

keywords = {Anomaly Detection, Big Data, Data Visualization, Internet of Things (IoT)},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3407023.3409314,

title = {DIDEROT: An Intrusion Detection and Prevention System for DNP3-Based SCADA Systems},

author = {Panagiotis Radoglou-Grammatikis and Panagiotis Sarigiannidis and George Efstathopoulos and Paris-Alexandros Karypidis and Antonios Sarigiannidis},

url = {https://doi.org/10.1145/3407023.3409314},

doi = {10.1145/3407023.3409314},

isbn = {9781450388337},

year  = {2020},

date = {2020-01-01},

booktitle = {Proceedings of the 15th International Conference on Availability, Reliability and Security},

publisher = {Association for Computing Machinery},

address = {Virtual Event, Ireland},

series = {ARES '20},

abstract = {In this paper, an Intrusion Detection and Prevention System (IDPS) for the Distributed Network Protocol 3 (DNP3) Supervisory Control and Data Acquisition (SCADA) systems is presented. The proposed IDPS is called DIDEROT (Dnp3 Intrusion DetEction pReventiOn sysTem) and relies on both supervised Machine Learning (ML) and unsupervised/outlier ML detection models capable of discriminating whether a DNP3 network flow is related to a particular DNP3 cyberattack or anomaly. First, the supervised ML detection model is applied, trying to identify whether a DNP3 network flow is related to a specific DNP3 cyberattack. If the corresponding network flow is detected as normal, then the unsupervised/outlier ML anomaly detection model is activated, seeking to recognise the presence of a possible anomaly. Based on the DIDEROT detection results, the Software Defined Networking (SDN) technology is adopted in order to mitigate timely the corresponding DNP3 cyberattacks and anomalies. The performance of DIDEROT is demonstrated using real data originating from a substation environment.},

keywords = {Anomaly Detection, Autonencoder, Intrusion detection, Machine Learning, SCADA, SDN, Smart Grid},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {An Anomaly Detection Mechanism for IEC 60870-5-104},

author = {Panagiotis Radoglou Grammatikis and Panagiotis Sarigiannidis and Antonios Sarigiannidis and Dimitrios Margounakis and Apostolos Tsiakalos and Georgios Efstathopoulos},

url = {https://www.researchgate.net/publication/344386495_An_Anomaly_Detection_Mechanism_for_IEC_60870-5-104},

doi = {10.1109/MOCAST49295.2020.9200285},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)},

abstract = {The transformation of the conventional electricity grid into a new paradigm called smart grid demands the appropriate cybersecurity solutions. In this paper, we focus on the security of the IEC 60870-5-104 (IEC-104) protocol which is commonly used by Supervisory Control and Data Acquisition (SCADA) systems in the energy domain. In particular, after investigating its security issues, we provide a multivariate Intrusion Detection System (IDS) which adopts both access control and outlier detection mechanisms in order to detect timely possible anomalies against IEC-104. The efficiency of the proposed IDS is reflected by the Accuracy and F1 metrics that reach 98% and 87%, respectively.},

keywords = {Anomaly Detection, Cybersecurity, Data Acquisition, IEC-60870- 5-104},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9200256,

title = {Trust Management in Smart Grid: A Markov Trust Model},

author = {Dimitrios Pliatsios and Panagiotis Sarigiannidis and Georgios Efstathopoulos and Antonios Sarigiannidis and Apostolos Tsiakalos},

url = {https://ieeexplore.ieee.org/document/9200256},

doi = {10.1109/MOCAST49295.2020.9200256},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)},

pages = {1-4},

abstract = {By leveraging the advancements in Information and Communication Technologies (ICT), Smart Grid (SG) aims to modernize the traditional electric power grid towards efficient distribution and reliable management of energy in the electrical domain. The SG Advanced Metering Infrastructure (AMI) contains numerous smart meters, which are deployed throughout the distribution grid. However, these smart meters are susceptible to cyberthreats that aim to disrupt the normal operation of the SG. Cyberattacks can have various consequences in the smart grid, such as incorrect customer billing or equipment destruction. Therefore, these devices should operate on a trusted basis in order to ensure the availability, confidentiality, and integrity of the metering data. In this paper, we propose a Markov chain trust model that determines the Trust Value (TV) for each AMI device based on its behavior. Finally, numerical computations were carried out in order to investigate the reaction of the proposed model to the behavior changes of a device.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {Secure and Private Smart Grid: The SPEAR Architecture},

author = {Panagiotis Radoglou Grammatikis and Panagiotis Sarigiannidis and Eider Iturbe and Erkuden Rios and Antonios Sarigiannidis and Odysseas Nikolis and Dimosthenis Ioannidis and Vasileios Machamint and Michalis Tzifas and Alkiviadis Giannakoulias and Michail Angelopoulos and Anastasios Papadopoulos and Francisco Ramos},

url = {https://www.researchgate.net/publication/343621502_Secure_and_Private_Smart_Grid_The_SPEAR_Architecture},

doi = {10.1109/NetSoft48620.2020.9165420},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 6th IEEE International Conference on Network Softwarization (NetSoft)},

pages = {450-456},

abstract = {Information and Communication Technology (ICT) is an integral part of Critical Infrastructures (CIs), bringing both significant pros and cons. Focusing our attention on the energy sector, ICT converts the conventional electrical grid into a new paradigm called Smart Grid (SG), providing crucial benefits such as pervasive control, better utilisation of the existing resources, self-healing, etc. However, in parallel, ICT increases the attack surface of this domain, generating new potential cyberthreats. In this paper, we present the Secure and PrivatE smArt gRid (SPEAR) architecture which constitutes an overall solution aiming at protecting SG, by enhancing situational awareness, detecting timely cyberattacks, collecting appropriate forensic evidence and providing an anonymous cybersecurity information-sharing mechanism. Operational characteristics and technical specifications details are analysed for each component, while also the communication interfaces among them are described in detail.},

keywords = {Anomaly Detection, Anonymity, Cybersecurity, Forensics, Honeypots, Intrusion detection, Privacy, Smart Grid},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {A Novel LoRaWAN Scheduling Scheme for Improving Reliability and Collision Avoidance},

author = {Anna Triantafyllou and Panagiotis Sarigiannidis and Thomas Lagkas and Antonios Sarigiannidis},

url = {https://www.researchgate.net/publication/345185837_A_Novel_LoRaWAN_Scheduling_Scheme_for_Improving_Reliability_and_Collision_Avoidance},

doi = {10.1109/MOCAST49295.2020.9200253},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)},

pages = {1-4},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {NeuralPot: An Industrial Honeypot Implementation Based On Deep Neural Networks},

author = {Ilias Siniosoglou and Georgios Efstathopoulos and Dimitrios Pliatsios and Ioannis Moscholios and Antonios Sarigiannidis and Georgia Sakellari and Georgios Loukas and Panagiotis Sarigiannidis},

url = {https://www.researchgate.net/publication/347267819_NeuralPot_An_Industrial_Honeypot_Implementation_Based_On_Deep_Neural_Networks},

doi = {10.1109/ISCC50000.2020.9219712},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 IEEE Symposium on Computers and Communications (ISCC)},

pages = {1-7},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {A Rubric-Based Evaluation of Video Conferencing Services for Educational Use},

author = {Dimitrios Margounakis and Theodore Pachidis and Dionysios Politis},

url = {https://www.researchgate.net/publication/348907769_A_Rubric-Based_Evaluation_of_Video_Conferencing_Services_for_Educational_Use},

year  = {2020},

date = {2020-01-01},

booktitle = {8th International Scientific Conference Technics and Informatics in Education},

abstract = {The COVID-19 pandemic has brought about rapid changes in the educational process in all countries where extreme measures, such as lockdown, were applied. Almost all levels of education have turned to synchronous teaching, using various video conferencing services. This study will attempt to evaluate specific applications with the assistance of appropriate methodology based on rubrics and the SUS questionnaire for interactive systems. A comparative evaluation of 5 popular video conferencing tools (Big Blue Button, Google Meet, Skype for Business, WebEx, Zoom) was attempted based on a methodological approach with usability and functionality criteria. A rubric was generated to assist the authors in assessing the selected five video conferencing tools. The research took place in May 2020. The sample of the survey included 73 adults (teachers at all levels of education) that used those video conferencing services. The aim of this study is to highlight teachers' views and needs from tools supporting synchronous education in order to improve the online learning process at all levels of education.},

keywords = {COVID-19, Distance learning, Rubric, SUS, Synchronous education, Usability, Video conferencing tools},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {Augmented reality for cultural heritage education},

author = {Cristian Perra and Elisavet Grigoriou and Antonio Liotta and Wei Song and Claudio Usai and Daniele Giusto},

url = {https://www.researchgate.net/publication/335654627_Augmented_reality_for_cultural_heritage_education},

doi = {10.1109/ICCE-Berlin47944.2019.8966211},

year  = {2019},

date = {2019-01-01},

booktitle = {IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)},

abstract = {In the past few years, it is noticed a fast adoption and increase of mobile devices that are able to retrieve information quickly, regardless of the user's physical environment. Thus, application developers have leveraged it by developing a variety of applications using mobile Augmented Reality (AR) in domains such as cultural heritage education, shopping, gaming, and more. AR technology overlays a virtual object into the real world that enables users to have virtual and real-world experience at the same time. During a visit to a cultural heritage site such as a museum or an art gallery, the learning experience and enjoyment is necessary for a visitor and AR introduces new opportunities to improve them. We propose an AR-based framework for cultural heritage education. We aim to promote cultural heritage education by enriching user's experience and at the same time to offer the knowledge with the most enjoyable way. In order to evaluate our framework, we have developed a server application and an AR-based smartphone application.},

keywords = {Android, ARCore, Augmented reality, Cultural heritage, Education},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8806693,

title = {A Survey On Honeypots, Honeynets And Their Applications On Smart Grid},

author = {Christos Dalamagkas and Panagiotis Sarigiannidis and Dimosthenis Ioannidis and Eider Iturbe and Odysseas Nikolis and Francisco Ramos and Erkuden Rios and Antonios Sarigiannidis and Dimitrios Tzovaras},

url = {https://ieeexplore.ieee.org/abstract/document/8806693},

doi = {10.1109/NETSOFT.2019.8806693},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 IEEE Conference on Network Softwarization (NetSoft)},

pages = {93-100},

abstract = {Power grid is a major part of modern Critical Infrastructure (CIN). The rapid evolution of Information and Communication Technologies (ICT) enables traditional power grids to encompass advanced technologies that allow them to monitor their state, increase their reliability, save costs and provide ICT services to end customers, thus converting them into smart grids. However, smart grid is exposed to several security threats, as hackers might try to exploit vulnerabilities of the industrial infrastructure and cause disruption to national electricity system with severe consequences to citizens and commerce. This paper investigates and compares honey-x technologies that could be applied to smart grid in order to distract intruders, obtain attack strategies, protect the real infrastructure and form forensic evidence to be used in court.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8858503,

title = {Operational Data Based Intrusion Detection System for Smart Grid},

author = {Georgios Efstathopoulos and Panagiotis Radoglou Grammatikis and Panagiotis Sarigiannidis and Vasilis Argyriou and Antonios Sarigiannidis and Konstantinos Stamatakis and Michail K Angelopoulos and Solon K Athanasopoulos},

url = {https://ieeexplore.ieee.org/document/8858503},

doi = {10.1109/CAMAD.2019.8858503},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)},

pages = {1-6},

abstract = {With the rapid progression of Information and Communication Technology (ICT) and especially of Internet of Things (IoT), the conventional electrical grid is transformed into a new intelligent paradigm, known as Smart Grid (SG). SG provides significant benefits both for utility companies and energy consumers such as the two-way communication (both electricity and information), distributed generation, remote monitoring, self-healing and pervasive control. However, at the same time, this dependence introduces new security challenges, since SG inherits the vulnerabilities of multiple heterogeneous, co-existing legacy and smart technologies, such as IoT and Industrial Control Systems (ICS). An effective countermeasure against the various cyberthreats in SG is the Intrusion Detection System (IDS), informing the operator timely about the possible cyberattacks and anomalies. In this paper, we provide an anomaly-based IDS especially designed for SG utilising operational data from a real power plant. In particular, many machine learning and deep learning models were deployed, introducing novel parameters and feature representations in a comparative study. The evaluation analysis demonstrated the efficacy of the proposed IDS and the improvement due to the suggested complex data representation.},

keywords = {Anomaly Detection, Cybersecurity, Intrusion Detection System, Machine Learning, Operational Data, Smart Grid},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8956245,

title = {Cost-efficient Remote Radio Head Deployment in 5G Networks Under Minimum Capacity Requirements},

author = {Dimitrios Pliatsios and Panagiotis Sarigiannidis and Ioannis D Moscholios and Apostolos Tsiakalos},

url = {https://ieeexplore.ieee.org/abstract/document/8956245/authors#authors},

doi = {10.1109/PACET48583.2019.8956245},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 Panhellenic Conference on Electronics Telecommunications (PACET)},

pages = {1-4},

abstract = {Dense small cell deployment is an effective way to address the increasing requirements of the emerging Fifth Generation mobile networks. The Cloud Radio Access Network (C-RAN) is an emerging concept that can achieve very dense small cell deployment. In ultra-dense C-RAN architectures with numerous Remote Radio Heads (RRHs), the minimization of the deployment cost is a critical issue in the radio network planning phase. In this paper, we propose a low complexity algorithm that minimizes the required number of small cells, while ensuring user satisfaction in terms of network capacity. The algorithm is based on the successive elimination of RRHs, and it simultaneously solves the minimization and the optimal deployment problems. The evaluation results indicate that the proposed algorithm can efficiently solve the aforementioned problems.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-030-19823-7_43,

title = {Iliou Machine Learning Data Preprocessing Method for Suicide Prediction from Family History},

author = {Theodoros Iliou and Georgia Konstantopoulou and Christina Lymperopoulou and Konstantinos Anastasopoulos and George Anastassopoulos and Dimitrios Margounakis and Dimitrios Lymberopoulos},

url = {https://link.springer.com/chapter/10.1007/978-3-030-19823-7_43},

isbn = {978-3-030-19823-7},

year  = {2019},

date = {2019-01-01},

booktitle = {Artificial Intelligence Applications and Innovations},

pages = {512--519},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {As real world data tends to be incomplete, noisy and inconsistent, data preprocessing is an important issue for data mining. Data preparation includes data cleaning, data integration, data transformation and data reduction. In this paper, Iliou preprocessing method is compared with Principal Component Analysis in suicide prediction according to family history. The dataset consists of 360 students, aged 18 to 24, who were experiencing family history problems. The performance of Iliou and Principal Component Analysis data preprocessing methods was evaluated using the 10-fold cross validation method assessing ten classification algorithms, IB1, J48, Random Forest, MLP, SMO, JRip, RBF, Na"ive Bayes, AdaBoostM1 and HMM, respectively. Experimental results illustrate that Iliou data preprocessing algorithm outperforms Principal Component Analysis data preprocessing method, achieving 100% against 71.34% classification performance, respectively. According to the classification results, Iliou preprocessing method is the most suitable for suicide prediction.},

keywords = {Classification algorithms, Data mining, Data preprocessing, Family history, Machine Learning, Suicide},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {A QoE monitoring solution for LTE-Advanced Pro networks},

author = {Elisavet Grigoriou and Theocharis Saoulidis and Luigi Atzori and Virginia Pilloni and Periklis Chatzimisios},

url = {https://www.researchgate.net/publication/328249578_A_QoE_monitoring_solution_for_LTE-Advanced_Pro_networks},

doi = {10.1109/CAMAD.2018.8514946},

year  = {2018},

date = {2018-01-01},

booktitle = {IEEE Computer-Aided Modeling Analysis and Design of Communication Links and Networks 2018},

abstract = {This paper presents a distributed agent-based Quality of Experience (QoE) monitoring solution for Long Term Evolution (LTE)-Advanced Pro networks. The proposed solution relies on an approach that considers the computational complexity and the network load to adjust the frequency of measurements while considering the estimation accuracy. Accordingly, the proposed system allows the Internet Service Provider (ISP) to monitor the network QoE level accurately without overloading the network by considering different Influence Factors (IFs). Some preliminary results are shown in terms of accuracy of estimations and computational complexity in case of video streaming service.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {An agent-based QoE monitoring strategy for LTE networks},

author = {Elisavet Grigoriou and Luigi Atzori and Theocharis Saoulidis and Virginia Pilloni and Periklis Chatzimisios},

url = {https://www.researchgate.net/publication/322386756_An_agent-based_QoE_monitoring_strategy_for_LTE_networks},

doi = {10.1109/ICC.2018.8422608},

year  = {2018},

date = {2018-01-01},

booktitle = {ICC2018},

abstract = {The new generation of Long Term Evolution (LTE) networks provides ubiquitous broadband access to mobile devices matching land communications in quality and speed. However, to optimize network resource usage in a dynamic environment network operators need models and strategies to constantly assess and manage the end-user's Quality of Experience (QoE). Given the importance of these activities, in the current paper, we focus on quality monitoring and the usage of QoE-agents in an LTE-Advanced Pro network. Specifically, we identify the location and the operation of the QoE-Agents based on the accuracy of the measurements and the load in the network by considering the frequency of the measurements and the running applications. Emulations have been also carried out to evaluate two considered scenarios with different network conditions as well as with different quality sampling rates and application configurations. The preliminary results have shown that the proposed strategy results in acceptable errors from our measurements, low CPU utilization and acceptable memory utilization.},

keywords = {Agent, LTE-Advanced, Mininet, Monitoring, QoE, Video},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3291533.3291559,

title = {Towards an Anonymous Incident Communication Channel for Electric Smart Grids},

author = {Anna Triantafyllou and Panagiotis Sarigiannidis and Antonios Sarigiannidis and Erkuden Rios and Eider Iturbe},

url = {https://doi.org/10.1145/3291533.3291559},

doi = {10.1145/3291533.3291559},

isbn = {9781450366106},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the 22nd Pan-Hellenic Conference on Informatics},

pages = {34–39},

publisher = {Association for Computing Machinery},

address = {Athens, Greece},

series = {PCI '18},

abstract = {The Electric Smart Grid (ESG) is an intelligent critical infrastructure aiming to create an automated and distributed advanced energy delivery network, while preserving information privacy. This study proposes the implementation of an Anonymous Incident Communication Channel (AICC) amongst smart grids across Europe to improve situational awareness and enhance security of the new electric intelligent infrastructures. All participating organizations will have the ability to broadcast sensitive information, stored anonymously in a repository, without exposing the reputation of the organisation. This work focuses on the requirements of establishment, the possible obstacles and proposed data protection techniques to be applied in the AICC. Furthermore, a discussion is conducted regarding the documentation of cyber-incidents. Last but not least, the benefits and the potential risks of this AICC concept are also provided.},

keywords = {Anonymity, Anonymous repository of incidents, Group signature, Smart Grid},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-319-75175-7_76,

title = {Mobile Communications Technologies Impact on Radio Frequency Broadcasts},

author = {Dionysios Politis and Anastasios Tsirantonakis and Veljko Aleksi{ć} and Panagiotis Nteropoulos and Dimitrios Margounakis},

editor = {Michael E Auer and Thrasyvoulos Tsiatsos},

url = {https://link.springer.com/chapter/10.1007/978-3-319-75175-7_76},

isbn = {978-3-319-75175-7},

year  = {2018},

date = {2018-01-01},

booktitle = {Interactive Mobile Communication Technologies and Learning},

pages = {778--788},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {This research examines how regulatory action by policy makers and the states involved may reshape the map of terrestrial television and radio broadcasts, not only in Greece, who serves as a case study, but for many countries who face similar problems. Taking as starting point the recent licensing competition this paper provides suggestions about how deregulating may be the amalgam of technologies that mix free on-line media providers with expensive, state regulated public goods in the frequency domain.},

keywords = {Emissions over the Internet, Regulating authorities, TV and radio broadcasts},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-319-77547-0_4,

title = {A Novel Lexicon-Based Approach in Determining Sentiment in Financial Data Using Learning Automata},

author = {Antonios Sarigiannidis and Paris-Alexandros Karypidis and Panagiotis Sarigiannidis and Ioannis-Chrysostomos Pragidis},

url = {https://link.springer.com/chapter/10.1007/978-3-319-77547-0_4},

isbn = {978-3-319-77547-0},

year  = {2018},

date = {2018-01-01},

booktitle = {Internet Science},

pages = {37--48},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {Sentiment analysis refers to the use of natural language processing (NLP) and textual analysis approaches to identify and extract subjective information from textual sources. Extracting sensible financial knowledge from relevant textual material is significant in order to help leverage the predictive power of the financial and econometric forecasting models. However, the determination of the sentiment analysis from textual data such as headlines, news and user comments is not an easy task. One of the most arduous challenges when dealing with sentiment analysis is the accuracy. In this work, a new lexicon-based approach is presented which is based on supervised learning. The introduced model is able to create a new lexicon based on annotated textual data and then it applies that lexicon to determine the sentiment in new, not-annotated data. The proposed method seems able to work effectively with financial data while supporting accurate decisions.},

keywords = {Financial data, Learning automata, Natural language processing, Sentiment analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {A Novel Strategy for Quality of Experience Monitoring and Management},

author = {Elisavet Grigoriou and Luigi Atzori and Virginia Pilloni},

url = {https://www.researchgate.net/publication/318701580_A_Novel_Strategy_for_Quality_of_Experience_Monitoring_and_Management},

doi = {10.1109/GLOCOM.2017.8254061},

year  = {2017},

date = {2017-01-01},

booktitle = {Globecom2017},

abstract = {In this paper, we illustrate a Software Defined Network (SDN)-based architecture for Quality of Experience (QoE) management. This approach solves two of the major problems of current networking technologies which are related to the limitations in scalability and flexibility. Its advantage is the exploitation of the virtualization features of the network nodes and devices to flexibly deploy monitoring and control functions in the different points of the network according to the SDN control functions. As a result the QoE monitoring and management is deployed at the application layer on top of the controller. In order to evaluate the proposed framework and architecture, a platform has been developed, which is called QoE-MoMa (QoE-Monitoring and Management) platform, making use of the Opendaylight solution and Mininet emulation environment. To evaluate QoE-MoMa, we focused on the video streaming service, whose final quality has been evaluated using the estimated MOS (eMOS) model that mostly considers rebuffering events, duration of the rebuffering, switch quality rates, video resolution, and quantization parameter. The results show the efficiency of the proposed approach observing that higher QoE level is achieved if we consider application and network parameters. In conclusion, we consider that QoE-MoMa is useful as a QoE monitoring and management tool for a variety of services and can be deployed on a real network conveniently.},

keywords = {Monitoring, QoE management, SDN, Video streaming},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7997261,

title = {An SDN-approach for QoE management of multimedia services using resource allocation},

author = {Elisavet Grigoriou and Alcardo Alex Barakabitze and Luigi Atzori and Lingfen Sun and Virginia Pilloni},

url = {https://ieeexplore.ieee.org/document/7997261},

doi = {10.1109/ICC.2017.7997261},

year  = {2017},

date = {2017-01-01},

booktitle = {2017 IEEE International Conference on Communications (ICC)},

pages = {1-7},

abstract = {Future networks will be accompanied by new heterogeneous requirements in terms of end-users Quality of Experience (QoE) due to the increasing number of application scenarios being deployed. Network softwarization technologies such as Software Defined Networks (SDNs) and Network Function Virtualization (NFV) promise to provide these capabilities. In this paper, a novel QoE-driven resource allocation mechanism is proposed to dynamically assign tasks to virtual network nodes in order to achieve an optimized end-to-end quality. The aim is to find the best combination of network node functions that can provide an optimized level of QoE to the end users though node cooperation. The service in question is divided in tasks and the neighbor nodes negotiate the assignment of these considering the final quality. In the paper we specifically focus on the video streaming service. We also show that the agility provided by SDN/NFV is a key factor for enhancing video quality, resource allocation and QoE management in future networks. Preliminary results based on the Mininet network emulator and the OpenDaylight controller have shown that our approach can significantly improve the quality of a transmitted video by selecting the best path with normalized QoS values.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7996897,

title = {Connectivity and coverage in machine-type communications},

author = {Panagiotis Sarigiannidis and Theodoros Zygiridis and Antonios Sarigiannidis and Thomas D Lagkas and Mohammad Obaidat and Nikolaos Kantartzis},

url = {https://ieeexplore.ieee.org/abstract/document/7996897},

doi = {10.1109/ICC.2017.7996897},

year  = {2017},

date = {2017-01-01},

booktitle = {2017 IEEE International Conference on Communications (ICC)},

pages = {1-6},

abstract = {Machine-type communication (MTC) provides a potential playground for deploying machine-to-machine (M2M), IP-enabled `things' and wireless sensor networks (WSNs) that support modern, added-value services and applications. 4G/5G technology can facilitate the connectivity and the coverage of the MTC entities and elements by providing M2M-enabled gateways and base stations for carrying traffic streams to/from the backbone network. For example, the latest releases of long-term evolution (LTE) such as LTE-Advanced (LTE-A) are being transformed to support the migration of M2M devices. MTC-oriented technical definitions and requirements are defined to support the emerging M2M proliferation. ETSI describes three types of MTC access methods, namely a) the direct access, b) the gateway access and c) the coordinator access. This work is focused on studying coverage aspects when a gateway access takes place. A deployment planar field is considered where a number of M2M devices are randomly deployed, e.g., a hospital where body sensor networks form a M2M infrastructure. An analytical framework is devised that computes the average number of connected M2M devices when a M2C gateway is randomly placed for supporting connectivity access to the M2M devices. The introduced analytical framework is verified by simulation and numerical results.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsb,

title = {Real time detection of suspicious objects in public areas using computer vision},

author = {Moukoulis Achilleas and Eleni Diamantidou and Paris Karipidis and Minas Dasygenis},

url = {https://dl.acm.org/doi/abs/10.1145/3139367.3139429},

doi = {10.1145/3139367.3139429},

isbn = {978-1-4503-5355-7},

year  = {2017},

date = {2017-01-01},

booktitle = {PCI 2017: Proceedings of the 21st Pan-Hellenic Conference on Informatics},

pages = {1-2},

abstract = {This is a paper about a Real Time Object Tracking application based on Computer Vision tools. The Background Subtraction technique (BS Technique) is implemented and used to deal with the object tracking on video feeds.The application can extend an established surveillance system by providing custom alerts of suspicious objects to the operators.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/2984393.2984405,

title = {Leveraging Parallelization Opportunities by an Online CAD Tool},

author = {Orestis Gounalakis and Anastasios Lytos and Minas Dasygenis},

url = {https://doi.org/10.1145/2984393.2984405},

doi = {10.1145/2984393.2984405},

isbn = {9781450348102},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings of the SouthEast European Design Automation, Computer Engineering, Computer Networks and Social Media Conference},

pages = {25–31},

publisher = {Association for Computing Machinery},

address = {Kastoria, Greece},

series = {SEEDA-CECNSM '16},

abstract = {High-performance computing utilizes many ranks and threads exploiting contemporary parallel and distributing processing architectures. Parallelizing an application is not a straightforward task as it is commonly admitted among all the researchers with this expertise. With all the different design decisions it's easy to be overwhelmed with the intricacies of the hardware and create strange bugs. Tools that aid developers to leverage their skills and knowledge are in great need. Here, we present an online tool that automates a part of the visualization of the parallelism, and can be used to pinpoint errant approaches, as we illustrate with a case study. The tool is available online at our web server, has very low runtime and can instrument via a web interface C and C++ files. The execution of these files can give an insight to the realization of the parallelism, like which thread or rank is accessing a memory address each time step. We have successfully used our tool on motion estimation kernels that were at our disposal, to aid towards their parallelization. As a test case, we present how this tool is used to pinpoint erroneous parallelization approaches on a well-known multimedia kernel.},

keywords = {Array handling, eda tool, GNUplot, Memory access problem, Online, OpenMP, OpenMPI, Parser, Pretreatment, QSDPCM, source-to-source, Visualization},

pubstate = {published},

tppubtype = {inproceedings}

}