Report Title: Deep Learning-based Side Channel Analysis

Speaker: Professor Jian Shen

Affiliation: Zhejiang Sci-Tech University

Time: 14:30-15:10, Saturday, June 7, 2025

Venue: Meeting Room 706, School of Computer Science and Information Engineering, Hefei University of Technology

Report Abstract:

Side channel analysis is one of the key technologies for hardware security evaluation. It reveals secret keys and critical data by analyzing physical leakages such as time delay, power consumption and electromagnetic radiation generated by embedded devices when executing cryptographic algorithms. In this field, modeling-based side channel analysis has become the state-of-the-art attack method due to its accurate security evaluation. Deep learning technology has driven side channel analysis into a new stage of development with its ability to discover the inherent relationships between physical leakages and critical data. By automatically extracting important information from physical leakages during the encryption process and building analysis models, this technology recovers critical data efficiently and accurately. Therefore, deep learning-based side channel analysis can provide strong support for safeguarding hardware security. Based on this, our research focuses on the following aspects: (1) Multileakage regularized autoencoder-based side channel analysis, to reduce noise while preserving good internal data correlation; (2) Unsupervised domain adaptation-based side channel analysis, to realize transfer learning across devices; (3) Electromagnetic leakage-based side channel analysis for Android phones, to crack the software implementation of AES on mobile phones.

Speaker Profile:

Jian Shen, Professor, National Distinguished Talent, Dean of the School of Information Science and Engineering, Zhejiang Sci-Tech University. His research directions include public key cryptography, data security, blockchain, etc. He is the Chief Scientist of the National Key R&D Program and a member of the Zhejiang Provincial Leading Innovation Team. He has won several scientific and technological awards such as the Second Prize of the Ministry of Education Natural Science Award (first author) and the Outstanding Young Scientist Award of the Chinese Cryptography Society. He is supported by the National Natural Science Foundation for Excellent Young Scientists, and has led 3 national major and key projects including the National Key R&D Program projects and the Joint Key Projects of the National Natural Science Foundation. He has published more than 100 academic papers in well-known international journals/conferences such as IEEE TIFS, TDSC, DAC and ACISP, and has been listed as a Clarivate Highly Cited Researcher for five consecutive years. He is currently a member of the Technical Committee on Security Protocols of the Chinese Cryptography Society, a member of the Technical Committee on Big Data and Artificial Intelligence Security of the Chinese Cryptography Society, a member of the Technical Committee on Cyberspace Security of the Chinese Institute of Electronics, an executive member of the Technical Committee on Blockchain of the China Computer Federation, and serves as the editor-in-chief and associate editor of several international journals, as well as the chair of several international academic conferences.