A Survey of Prototype Side-channel Attacks Based on Machine Learning Algorithms for Cryptographic Chips. Issue 3 (March 2019)

• Record Type: Journal Article
• Authors: Guo, Dongxin; Chen, Kaiyan; Hu, Xiaoyang; Wei, Yanhai; Li, Jianlong
• Is Part Of: Journal of physics. Volume 1176:Issue 3(2019)
• Publication Date: 2019-03
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1176/3/032005
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Cryptographic chips have been widely used in the field of digital security. With the continuous development of side-channel attacks, the security of cryptographic chips has attracted more and more attention. This paper mainly reviews the most distinguishing template attacks in current side-channel attacks, introduces the basic steps of template attack implementation, analyzes and discusses the existing template attacks, and finally focuses on the research progress of template attacks, especially the current the research status of template attacks based on machine learning and deep learning algorithms lays the foundation for further research.