The field of cyber-physical system security and resilience is rapidly evolving, with a focus on developing innovative solutions to detect and mitigate potential threats. Recent research has emphasized the importance of hardware-based security mechanisms, such as memory tagging extensions, to detect memory safety bugs and prevent attacks. Additionally, there is a growing interest in developing scalable and resilient architectures for interconnected cyber-physical systems, which can guarantee safety under multiple attacks. Noteworthy papers in this area include: NanoTag, which presents a system to detect memory safety bugs in unmodified binaries at byte granularity with ARM MTE, and Logic Solver Guided Directed Fuzzing for Hardware Designs, which introduces a novel targeted hardware fuzzing mechanism that leverages SAT-based techniques to focus on specific regions of the hardware design. These advancements have the potential to significantly improve the security and resilience of cyber-physical systems, and are expected to have a major impact on the field in the coming years.
Advancements in Cyber-Physical System Security and Resilience
Sources
NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
Fault Injection in On-Chip Interconnects: A Comparative Study of Wishbone, AXI-Lite, and AXI
Data-Driven Resilience Assessment against Sparse Sensor Attacks
Dynamic Causal Attack Graph based Cyber-security Risk Assessment Framework for CTCS System
Logic Solver Guided Directed Fuzzing for Hardware Designs
E-FuzzEdge: Optimizing Embedded Device Security with Scalable In-Place Fuzzing
A Scalable Design Approach to Resilient Architectures for Interconnected Cyber-Physical Systems: Safety Guarantees under Multiple Attacks