Overview of Side Channel Cipher Analysis Based on Deep Learning. Issue 2 (June 2019)

• Record Type: Journal Article
• Authors: Song, Shijie; Chen, Kaiyan; Zhang, Yang
• Is Part Of: Journal of physics. Volume 1213:Issue 2(2019)
• Publication Date: 2019-06
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1213/2/022013
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: According to the widespread use of embedded cryptographic devices, one of the major security threats, side channel attack and protection research, has grown rapidly in the last decade. Along with the popularity of machine learning and deep learning, artificial intelligence technology combined with side channel technology has gradually emerged, which has achieved quite good processing results. Due to the popularity of deep learning in recent years, it is indeed to complete the work with making an overview of side channel analysis based on deep learning. So in order to perfect the theory, this paper begins with the basic theory of the side channel attack. Combined with common models, the methodological analysis of deep learning side channel analysis is summarized and the existing research results are introduced next. Finally, the paper looks forward to the future deep learning side channel technology.