1. Multiple-Input, Multilayer-Perception-Based Classification of Traces From Side-Channel Attacks
- Author
-
Jing Zhou, Zhiguo Qu, Yujuan Zhang, Feng Hanwen, and Lin Weiguo
- Subjects
General Computer Science ,Exploit ,business.industry ,Computer science ,Pattern recognition ,Cryptography ,0102 computer and information sciences ,02 engineering and technology ,Encryption ,01 natural sciences ,Class (biology) ,020202 computer hardware & architecture ,010201 computation theory & mathematics ,0202 electrical engineering, electronic engineering, information engineering ,Key (cryptography) ,Side channel attack ,Artificial intelligence ,business ,Computer Science::Cryptography and Security ,TRACE (psycholinguistics) - Abstract
Side-channel analysis concerns cryptanalytic attacks that exploit the physical environment of cryptographic modules by analyzing leaking emanations and obtaining the encryption key. We propose a multiple-input, multilayer-perceptron-based method for classifying power traces, in which a probability is assigned to each class, indicating the likelihood that each trace corresponds to the label for further recovering the key.
- Published
- 2020