"This PhD thesis will investigate a smart cybersecurity framework focusing on two key aspects: cognitive cybersecurity schemes and trustworthiness monitoring/assessment."
5G networks are posed to provide a plethora of services as a pervasive enabler for connected and digital applications in anytime-anywhere settings. These services, ranging from leisure human activities like video streaming to mission-critical applications like smart grids or industrial IoT, should operate in a scalable, cost-efficient, and elastic manner via a virtualized and software-defined paradigm. However, the increased complexity of this ecosystem results in a greater action space and attack surface. A great challenge is then to prevent and mitigate attacks toward large-scale 5G infrastructure in a proactive and efficient manner. It becomes imperative to have an automated system that monitors, detects, and adaptively mitigates the threats by minimizing the attack surface, performing optimal and dynamic decisions, and considering a multitude of factors in the current state of the 5G network elements. These requirements go beyond 5G networks and are also valid for Beyond 5G (B5G) and 6G networks currently being discussed in academia.
To address these challenges, this PhD thesis will investigate a smart cybersecurity framework focusing on two key aspects: cognitive cybersecurity schemes and trustworthiness monitoring/assessment. In particular, it will develop Moving Target Defense (MTD) based proactive defense as a novel protection mechanism that can drastically reduce the action space of malicious users, optimize the countermeasures and guarantee the availability of the secure services. It will use game-theoretical models and Reinforcement Learning (RL) for facilitating an autonomous protection approach for virtualized resources and services.
This thesis will be linked to the EU project INSPIRE-5Gplus (https://www.inspire-5gplus.eu/) which aims to make a fundamental shift in the 5G and Beyond (B5G) security vision by progressing 5G Security and by devising a smart, trustworthy and liability-aware 5G security platform for future connected systems.