2021
Panagiotis Radoglou Grammatikis; Panagiotis Sarigiannidis; Christos Dalamagkas; Yannis Spyridis; Thomas Lagkas; Georgios Efstathopoulos; Achilleas Sesis; Ignacio Labrador Pavon; Ruben Trapero Burgos; Rodrigo Diaz; Antonios Sarigiannidis; Dimitris Papamartzivanos; Sofia Anna Menesidou; Giannis Ledakis; Achilleas Pasias; Thanasis Kotsiopoulos; Anastasios Drosou; Orestis Mavropoulos; Alba Colet Subirachs; Pol Paradell Sola; José Luis Domínguez-García; Marisa Escalante; Molinuevo Martin Alberto; Benito Caracuel; Francisco Ramos; Vasileios Gkioulos; Sokratis Katsikas; Hans Christian Bolstad; Dan-Eric Archer; Nikola Paunovic; Ramon Gallart; Theodoros Rokkas; Alicia Arce
SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture Journal Article
In: Digital, vol. 1, no. 4, pp. 173–187, 2021, ISSN: 2673-6470.
Περίληψη | BibTeX | Ετικέτες: Anomaly Detection, Blockchain, Cybersecurity, energy management; honeypots, intrusiondetection, islanding, Privacy, Smart Grid, Software Defined Networking | Σύνδεσμοι:
@article{digital1040013,
title = {SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture},
author = { Panagiotis Radoglou Grammatikis and Panagiotis Sarigiannidis and Christos Dalamagkas and Yannis Spyridis and Thomas Lagkas and Georgios Efstathopoulos and Achilleas Sesis and Ignacio Labrador Pavon and Ruben Trapero Burgos and Rodrigo Diaz and Antonios Sarigiannidis and Dimitris Papamartzivanos and Sofia Anna Menesidou and Giannis Ledakis and Achilleas Pasias and Thanasis Kotsiopoulos and Anastasios Drosou and Orestis Mavropoulos and Alba Colet Subirachs and Pol Paradell Sola and José Luis Domínguez-García and Marisa Escalante and Molinuevo Martin Alberto and Benito Caracuel and Francisco Ramos and Vasileios Gkioulos and Sokratis Katsikas and Hans Christian Bolstad and Dan-Eric Archer and Nikola Paunovic and Ramon Gallart and Theodoros Rokkas and Alicia Arce},
url = {https://www.researchgate.net/publication/354992483_SDN-Based_Resilient_Smart_Grid_The_SDN-microSENSE_Architecture},
doi = {10.3390/digital1040013},
issn = {2673-6470},
year = {2021},
date = {2021-09-24},
journal = {Digital},
volume = {1},
number = {4},
pages = {173--187},
abstract = {The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such as self-monitoring, self-healing and pervasive control. However, it also raises crucial cybersecurity and privacy concerns that can lead to devastating consequences, including cascading effects with other critical infrastructures or even fatal accidents. This paper introduces a novel architecture, which will increase the Smart Grid resiliency, taking full advantage of the Software-Defined Networking (SDN) technology. The proposed architecture called SDN-microSENSE architecture consists of three main tiers: (a) Risk assessment, (b) intrusion detection and correlation and (c) self-healing. The first tier is responsible for evaluating dynamically the risk level of each Smart Grid asset. The second tier undertakes to detect and correlate security events and, finally, the last tier mitigates the potential threats, ensuring in parallel the normal operation of the Smart Grid. It is noteworthy that all tiers of the SDN-microSENSE architecture interact with the SDN controller either for detecting or mitigating intrusions.},
keywords = {Anomaly Detection, Blockchain, Cybersecurity, energy management; honeypots, intrusiondetection, islanding, Privacy, Smart Grid, Software Defined Networking},
pubstate = {published},
tppubtype = {article}
}
The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such as self-monitoring, self-healing and pervasive control. However, it also raises crucial cybersecurity and privacy concerns that can lead to devastating consequences, including cascading effects with other critical infrastructures or even fatal accidents. This paper introduces a novel architecture, which will increase the Smart Grid resiliency, taking full advantage of the Software-Defined Networking (SDN) technology. The proposed architecture called SDN-microSENSE architecture consists of three main tiers: (a) Risk assessment, (b) intrusion detection and correlation and (c) self-healing. The first tier is responsible for evaluating dynamically the risk level of each Smart Grid asset. The second tier undertakes to detect and correlate security events and, finally, the last tier mitigates the potential threats, ensuring in parallel the normal operation of the Smart Grid. It is noteworthy that all tiers of the SDN-microSENSE architecture interact with the SDN controller either for detecting or mitigating intrusions.
2020
P. Radoglou-Grammatikis; P. Sarigiannidis; E. Iturbe; E. Rios; A. Sarigiannidis; O. Nikolis; D. Ioannidis; V. Machamint; M. Tzifas; A. Giannakoulias; M. Angelopoulos; A. Papadopoulos; F. Ramos
Secure and private smart grid: The SPEAR architecture Conference
2020 6th IEEE Conference on Network Softwarization (NetSoft), IEEE, 2020.
Περίληψη | BibTeX | Ετικέτες: Anomaly Detection, Anonymity, Cybersecurity, Forensics, Honeypots, Intrusion detection, Privacy, Smart Grid | Σύνδεσμοι:
@conference{Grammatikis2020450,
title = {Secure and private smart grid: The SPEAR architecture},
author = { P. Radoglou-Grammatikis and P. Sarigiannidis and E. Iturbe and E. Rios and A. Sarigiannidis and O. Nikolis and D. Ioannidis and V. Machamint and M. Tzifas and A. Giannakoulias and M. Angelopoulos and A. Papadopoulos and F. Ramos},
url = {https://www.researchgate.net/publication/343621502_Secure_and_Private_Smart_Grid_The_SPEAR_Architecture?_sg=ajSET8e8bb-KvKba1e9QHd7a7IFuKtI-72RhxDMcm-yozF1Q-5Jx4b8jAVrAhVncE1vtLBx2eVdgcx4},
doi = {10.1109/NetSoft48620.2020.9165420},
year = {2020},
date = {2020-06-01},
booktitle = {2020 6th IEEE Conference on Network Softwarization (NetSoft)},
journal = {Proceedings of the 2020 IEEE Conference on Network Softwarization: Bridging the Gap Between AI and Network Softwarization, NetSoft 2020},
pages = {450-456},
publisher = {IEEE},
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. © 2020 IEEE.},
keywords = {Anomaly Detection, Anonymity, Cybersecurity, Forensics, Honeypots, Intrusion detection, Privacy, Smart Grid},
pubstate = {published},
tppubtype = {conference}
}
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. © 2020 IEEE.
G. Drosatos; K. Rantos; D. Karampatzakis; T. Lagkas; P. Sarigiannidis
Privacy-preserving solutions in the Industrial Internet of Things Conference
2020.
Περίληψη | BibTeX | Ετικέτες: Industrial Internet of Things (IIoT), Literature review, Privacy, Privacy-preserving authentication methods, Privacy-preserving solutions | Σύνδεσμοι:
@conference{Drosatos2020219,
title = {Privacy-preserving solutions in the Industrial Internet of Things},
author = { G. Drosatos and K. Rantos and D. Karampatzakis and T. Lagkas and P. Sarigiannidis},
url = {https://www.researchgate.net/publication/344057084_Privacy-preserving_solutions_in_the_Industrial_Internet_of_Things},
doi = {10.1109/DCOSS49796.2020.00044},
year = {2020},
date = {2020-01-01},
journal = {Proceedings - 16th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2020},
pages = {219-226},
abstract = {Industrial Internet of Things (IIoT) is a relatively new area of research that utilises multidisciplinary and holistic approaches to develop smart solutions for complex problems in industrial environments. Designing applications for the IIoT is a non trivial issue and requires to address, among many others, technology concerns, the protection of personal data, and the privacy of individuals. In this review paper, we identify privacy-preserving solutions that have been proposed in the literature to safeguard the privacy of individuals being part, or interacting with, the IIoT environment. As such, it considers two main categories of the analysed protocols, i.e., the privacy-preserving data management and processing solutions, and the privacy-preserving authentication methods. © 2020 IEEE.},
keywords = {Industrial Internet of Things (IIoT), Literature review, Privacy, Privacy-preserving authentication methods, Privacy-preserving solutions},
pubstate = {published},
tppubtype = {conference}
}
Industrial Internet of Things (IIoT) is a relatively new area of research that utilises multidisciplinary and holistic approaches to develop smart solutions for complex problems in industrial environments. Designing applications for the IIoT is a non trivial issue and requires to address, among many others, technology concerns, the protection of personal data, and the privacy of individuals. In this review paper, we identify privacy-preserving solutions that have been proposed in the literature to safeguard the privacy of individuals being part, or interacting with, the IIoT environment. As such, it considers two main categories of the analysed protocols, i.e., the privacy-preserving data management and processing solutions, and the privacy-preserving authentication methods. © 2020 IEEE.
2018
T. Lagkas; V. Argyriou; S. Bibi; P. Sarigiannidis
UAV IoT framework views and challenges: Towards protecting drones as “things” Journal Article
In: Sensors (Switzerland), vol. 18, no. 11, 2018.
Περίληψη | BibTeX | Ετικέτες: Drones, IoT, Privacy, security, UAV | Σύνδεσμοι:
@article{Lagkas2018b,
title = {UAV IoT framework views and challenges: Towards protecting drones as “things”},
author = { T. Lagkas and V. Argyriou and S. Bibi and P. Sarigiannidis},
url = {https://www.researchgate.net/publication/328968155_UAV_IoT_Framework_Views_and_Challenges_Towards_Protecting_Drones_as_Things},
doi = {10.3390/s18114015},
year = {2018},
date = {2018-01-01},
journal = {Sensors (Switzerland)},
volume = {18},
number = {11},
abstract = {Unmanned aerial vehicles (UAVs) have enormous potential in enabling new applications in various areas, ranging from military, security, medicine, and surveillance to traffic-monitoring applications. Lately, there has been heavy investment in the development of UAVs and multi-UAVs systems that can collaborate and complete missions more efficiently and economically. Emerging technologies such as 4G/5G networks have significant potential on UAVs equipped with cameras, sensors, and GPS receivers in delivering Internet of Things (IoT) services from great heights, creating an airborne domain of the IoT. However, there are many issues to be resolved before the effective use of UAVs can be made, including security, privacy, and management. As such, in this paper we review new UAV application areas enabled by the IoT and 5G technologies, analyze the sensor requirements, and overview solutions for fleet management over aerial-networking, privacy, and security challenges. Finally, we propose a framework that supports and enables these technologies on UAVs. The introduced framework provisions a holistic IoT architecture that enables the protection of UAVs as “flying” things in a collaborative networked environment. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.},
keywords = {Drones, IoT, Privacy, security, UAV},
pubstate = {published},
tppubtype = {article}
}
Unmanned aerial vehicles (UAVs) have enormous potential in enabling new applications in various areas, ranging from military, security, medicine, and surveillance to traffic-monitoring applications. Lately, there has been heavy investment in the development of UAVs and multi-UAVs systems that can collaborate and complete missions more efficiently and economically. Emerging technologies such as 4G/5G networks have significant potential on UAVs equipped with cameras, sensors, and GPS receivers in delivering Internet of Things (IoT) services from great heights, creating an airborne domain of the IoT. However, there are many issues to be resolved before the effective use of UAVs can be made, including security, privacy, and management. As such, in this paper we review new UAV application areas enabled by the IoT and 5G technologies, analyze the sensor requirements, and overview solutions for fleet management over aerial-networking, privacy, and security challenges. Finally, we propose a framework that supports and enables these technologies on UAVs. The introduced framework provisions a holistic IoT architecture that enables the protection of UAVs as “flying” things in a collaborative networked environment. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
Διεύθυνση
Internet of Things and Applications Lab
Department of Electrical and Computer Engineering
University of Western Macedonia Campus
ZEP Area, Kozani 50100
Greece
Πληροφορίες Επικοινωνίας
tel: +30 2461 056527
Email: ithaca@uowm.gr
