Security

2021 IEEE CSR Workshop on Data Science for Cyber Security (DS4CS): Call for papers

Over the years cyber-threats have increased in numbers and sophistication; adversaries now use a vast set of tools and tactics to attack their victims with their motivations ranging from intelligence collection to destruction or financial gain. Lately, the introduction of IoT devices on a number of applications, ranging from home automation to monitoring of critical infrastructures, has created an even more complicated cyber-defense landscape.

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Evaluation of Apache Spot’s machine learning capabilities in an SDN/NFV enabled environment

Christos M. Mathas, Olga E. Segou, Georgios Xylouris, Dimitris Christinakis, Michail-Alexandros Kourtis, Costas Vassilakis and Anastasios Kourtis
Proceedings of the 1st International Workshop on Cyber Threat Intelligence Management (CyberTIM 2018), part of the ARES EU Project Symposium series, 2018
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