The science of guessing in collision-optimized divide-and-conquer attacks

• Main Authors: Ou, Changhai, Lam, Siew-Kei, Jiang, Guiyuan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Collision Attack; Divide and Conquer
• Online Access: https://hdl.handle.net/10356/160239
• Institution: Nanyang Technological University

Recovering keys ranked in very deep candidate space efficiently is a very important but challenging issue in side-channel attacks (SCAs). State-of-the-art collision-optimized divide-and-conquer attacks (CODCAs) extract collision information from a collision attack to optimize the key recovery of a d...