PHYSICS researches novel and integrated detection, mitigation and compensation strategies for attacks on communication networks so that the security, resilience and privacy requirements of communication infrastructures are met.
In addition to other protocol levels and vulnerabilities, the physical layer (PHY) can already be the target of attacks and manipulation. The requirements for PHY Layer Security (PLS) in future communication networks are increasing due to new safety-critical use cases, such as automated and networked driving, the integration of more and more functionalities (localization, sensing, computation) and the trend towards ever denser and more heterogeneous networks strong.
The focus of PHYSICS is on different attack vectors and attack options on the PHY, such as jamming (jamming), sniffing (eavesdropping) and spoofing (manipulation). Such attacks should be prevented based on PHY detection, mitigation and compensation strategies developed and integrated in the project. This includes the detection of attackers and jammers based on channel estimation and machine learning (ML) classification algorithms, the mitigation of jammers and eavesdroppers based on beamforming through targeted antenna alignment and the compensation of jammers and attackers using Optical Wireless Technology handover or redundancy Providing an isolated, tap-proof, light-based LiFi channel. These functionalities are developed, implemented and demonstrated in the project specifically for the use case of automated and networked driving for both vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. PHYSICS thus makes a decisive contribution to increasing the resilience and security of communication networks for safety-critical automated and networked driving.