2022
Athanasios Liatifis; Christos Dalamagkas; Panagiotis Radoglou-Grammatikis; Thomas Lagkas; Evangelos Markakis; Valeri Mladenov; Panagiotis Sarigiannidis
Fault-Tolerant SDN Solution for Cybersecurity Applications Conference
Proceedings of the 17th International Conference on Availability, Reliability and Security, ARES '22 Association for Computing Machinery, Vienna, Austria, 2022, ISBN: 9781450396707.
Περίληψη | BibTeX | Ετικέτες: Cybersecurity, Smart Grid, Software Defined Networking | Σύνδεσμοι:
@conference{10.1145/3538969.3544479b,
title = {Fault-Tolerant SDN Solution for Cybersecurity Applications},
author = {Athanasios Liatifis and Christos Dalamagkas and Panagiotis Radoglou-Grammatikis and Thomas Lagkas and Evangelos Markakis and Valeri Mladenov and Panagiotis Sarigiannidis},
url = {https://doi.org/10.1145/3538969.3544479
},
doi = {10.1145/3538969.3544479},
isbn = {9781450396707},
year = {2022},
date = {2022-08-23},
booktitle = {Proceedings of the 17th International Conference on Availability, Reliability and Security},
publisher = {Association for Computing Machinery},
address = {Vienna, Austria},
series = {ARES '22},
abstract = {The rapid growth of computer networks in various sectors has led to new services previously hard or impossible to implement. Internet of Things has also assisted in this evolution offering easy access to data but at the same time imposing constraints on both security and quality of service. In this paper, an SDN fault tolerant and resilient SDN controller design approach is presented. The proposed solution is suitable for a wide range of environments. Benefits stemming from actual scenarios are presented and discussed among other solutions.},
keywords = {Cybersecurity, Smart Grid, Software Defined Networking},
pubstate = {published},
tppubtype = {conference}
}
Athanasios Liatifis; Pedro Ruzafa Alcazar; Panagiotis Radoglou Grammatikis; Dimitris Papamartzivanos; Sofianna Menesidou; Thomas Krousarlis; Molinuevo Martin Alberto; Iñaki Angulo; Antonios Sarigiannidis; Thomas Lagkas; Vasileios Argyriou; Antonio Skarmeta; Panagiotis Sarigiannidis
Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach Conference
2022 IEEE 8th International Conference on Network Softwarization (NetSoft), 2022, ISBN: 978-1-6654-0694-9.
Περίληψη | BibTeX | Ετικέτες: certification, Cybersecurity, energy, Honeypot, Power Grid, Risk Assessment, Software Defined Networking | Σύνδεσμοι:
@conference{9844034,
title = {Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach},
author = {Athanasios Liatifis and Pedro Ruzafa Alcazar and Panagiotis Radoglou Grammatikis and Dimitris Papamartzivanos and Sofianna Menesidou and Thomas Krousarlis and Molinuevo Martin Alberto and Iñaki Angulo and Antonios Sarigiannidis and Thomas Lagkas and Vasileios Argyriou and Antonio Skarmeta and Panagiotis Sarigiannidis},
url = {https://www.researchgate.net/publication/362464616_Dynamic_Risk_Assessment_and_Certification_in_the_Power_Grid_A_Collaborative_Approach},
doi = {10.1109/NetSoft54395.2022.9844034},
isbn = {978-1-6654-0694-9},
year = {2022},
date = {2022-06-27},
booktitle = {2022 IEEE 8th International Conference on Network Softwarization (NetSoft)},
pages = {462-467},
abstract = {The digitisation of the typical electrical grid introduces valuable services, such as pervasive control, remote monitoring and self-healing. However, despite the benefits, cybersecurity and privacy issues can result in devastating effects or even fatal accidents, given the interdependence between the energy sector and other critical infrastructures. Large-scale cyber attacks, such as Indostroyer and DragonFly have already demonstrated the weaknesses of the current electrical grid with disastrous consequences. Based on the aforementioned remarks, both academia and industry have already designed various cybersecurity standards, such as IEC 62351. However, dynamic risk assessment and certification remain crucial aspects, given the sensitive nature of the electrical grid. On the one hand, dynamic risk assessment intends to re-compute the risk value of the affected assets and their relationships in a dynamic manner based on the relevant security events and alarms. On the other hand, based on the certification process, new approach for the dynamic management of the security need to be defined in order to provide adaptive reaction to new threats. This paper presents a combined approach, showing how both aspects can be applied in a collaborative manner in the smart electrical grid.},
keywords = {certification, Cybersecurity, energy, Honeypot, Power Grid, Risk Assessment, Software Defined Networking},
pubstate = {published},
tppubtype = {conference}
}
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}
}
A. Pasias; T. Kotsiopoulos; G. Lazaridis; A. Drosou; D. Tzovaras; P. Sarigiannidis
Enabling cyber-attack mitigation techniques in a software defined network Conference
2021, ISBN: 978-1-6654-0285-9.
Περίληψη | BibTeX | Ετικέτες: Application programs, Genetic algorithms, Integer programming, Quality of Service, Security of data, Software Defined Networking | Σύνδεσμοι:
@conference{Pasias2021497,
title = {Enabling cyber-attack mitigation techniques in a software defined network},
author = { A. Pasias and T. Kotsiopoulos and G. Lazaridis and A. Drosou and D. Tzovaras and P. Sarigiannidis},
url = {https://www.researchgate.net/publication/354417325_Enabling_Cyber-attack_Mitigation_Techniques_in_a_Software_Defined_Network},
doi = {10.1109/CSR51186.2021.9527932},
isbn = {978-1-6654-0285-9},
year = {2021},
date = {2021-01-01},
journal = {Proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience, CSR 2021},
pages = {497-502},
abstract = {Software Defined Networking (SDN) is an innovative technology, which can be applied in a plethora of applications and areas. Recently, SDN has been identified as one of the most promising solutions for industrial applications as well. The key features of SDN include the decoupling of the control plane from the data plane and the programmability of the network through application development. Researchers are looking at these features in order to enhance the Quality of Service (QoS) provisioning of modern network applications. To this end, the following work presents the development of an SDN application, capable of mitigating attacks and maximizing the network's QoS, by implementing mixed integer linear programming but also using genetic algorithms. Furthermore, a low-cost, physical SDN testbed was developed in order to evaluate the aforementioned application in a more realistic environment other than only using simulation tools. © 2021 IEEE.},
keywords = {Application programs, Genetic algorithms, Integer programming, Quality of Service, Security of data, Software Defined Networking},
pubstate = {published},
tppubtype = {conference}
}
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