Code: NIE-HSC Side-Channel Analysis in Hardware
Lecturer: Ing. Vojtìch Mi¹kovský Ph.D. Weekly load: 2P+2C Completion: A, EX
Department: 18103 Credits: 4 Semester: W
Description:
This course is dedicated to so-called side-channel information leakage in hardware devices. It focuses on both theoretical analysis and practical attacks. Students get familiar with various kinds of side channels and they get deeper insight in power attacks. Students learn to implement various profiled and non-profiled attacks and get familiar with higher-order attacks. They also get practice in both designing the SCA countermeasures and analyzing the amount and characteristics of the side-channel information leakage.
Contents:
1. Introduction to side channels, information leakage, power consumption/EM radiation measurements
2. Formal model for side-channel attacks, differential power analysis, correlation power analysis
3. Mutual information analysis, Kolmogorov-Smirnov analysis
4. Template attacks, theoretical and experimental security metrics
5. Countermeasures based on Additional Modules, hiding
6. Countermeasures based on Secure Logic Styles, hiding
7. Countermeasures based on Module Alteration, masking
8. Attacks on protected implementations, univariate and multivariate higher order attacks, combining function
9. Machine learning in side-channel analysis, neural networks
10. Leakage assessment
11. Remote side-channel attacks, attacks on radio, attacks in cloud
12. Fault attacks, fault injection, combined attacks
13. Reserve
Seminar contents:
1. Equipment introduction
2. Measurement introduction, timing attacks
3. Attack realisation I
4. Attack realisation II
5. Attack realisation III
6. Attack realisation IV
7. Countermeasures|hiding
8. Countermeasures|masking I
9. Countermeasures|masking II
10. Higher-order analysis
11. Attacking protected implementations
12. Finishing and evaluation
13. Reserve
Recommended literature:
TBA
Keywords:
hardware security, side-channel analysis, differential power analysis, mutual information analysis, profiled attacks, deep learning attacks, leakage assessment

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