@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}

}

@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}

}

@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}

}