Adversarial Learning Inspired Emerging Side-Channel Attacks and Defenses
This work tackles security vulnerabilities in computing systems for applications like cryptography, though it appears incremental as it builds on existing defense frameworks.
The paper addresses the need for novel defense strategies against evolving side-channel attacks by proposing Entropy-Shield as a defense against timing SCAs and extending it to hardware-based implementations like FPGA.
Evolving attacks on the vulnerabilities of the computing systems demand novel defense strategies to keep pace with newer attacks. This report discusses previous works on side-channel attacks (SCAs) and defenses for cache-targeted and physical proximity attacks. We then discuss the proposed Entropy-Shield as a defense against timing SCAs, and explain how we can extend the same to hardware-based implementations of crypto applications as "Entropy-Shield for FPGA". We then discuss why we want to build newer attacks with the hope of coming up with better defense strategies.