Unified Framework for Qualifying Security Boundary of PUFs against Machine Learning Attacks

Physical Unclonable Functions PUFs serve as lightweight, hardware-intrinsic entropy sources widely deployed in IoT security applications. However, delay-based PUFs are vulnerable to Machine Learning Attacks MLAs, undermining their assumed unclonability. There are no valid metrics for evaluating P...

CVE-2022-29878

A vulnerability has been identified in SICAM T All versions V3.0. Affected devices use a limited range for challenges that are sent during the unencrypted challenge-response communication. An unauthenticated attacker could capture a valid challenge-response pair generated by a legitimate user, an...