Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
CRYPTO '99 Proceedings of the 19th Annual International Cryptology Conference on Advances in Cryptology
IPA: A New Class of Power Attacks
CHES '99 Proceedings of the First International Workshop on Cryptographic Hardware and Embedded Systems
Electromagnetic Analysis: Concrete Results
CHES '01 Proceedings of the Third International Workshop on Cryptographic Hardware and Embedded Systems
CHES '02 Revised Papers from the 4th International Workshop on Cryptographic Hardware and Embedded Systems
A stochastic model for differential side channel cryptanalysis
CHES'05 Proceedings of the 7th international conference on Cryptographic hardware and embedded systems
An overview of side channel analysis attacks
Proceedings of the 2008 ACM symposium on Information, computer and communications security
Gaussian Mixture Models for Higher-Order Side Channel Analysis
CHES '07 Proceedings of the 9th international workshop on Cryptographic Hardware and Embedded Systems
CHES '08 Proceeding sof the 10th international workshop on Cryptographic Hardware and Embedded Systems
Comparative Evaluation of Rank Correlation Based DPA on an AES Prototype Chip
ISC '08 Proceedings of the 11th international conference on Information Security
Information Security and Cryptology --- ICISC 2008
A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
EUROCRYPT '09 Proceedings of the 28th Annual International Conference on Advances in Cryptology: the Theory and Applications of Cryptographic Techniques
How to Compare Profiled Side-Channel Attacks?
ACNS '09 Proceedings of the 7th International Conference on Applied Cryptography and Network Security
CHES '09 Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems
Trojan Side-Channels: Lightweight Hardware Trojans through Side-Channel Engineering
CHES '09 Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems
WISA'10 Proceedings of the 11th international conference on Information security applications
Information theoretic and security analysis of a 65-nanometer DDSLL AES S-box
CHES'11 Proceedings of the 13th international conference on Cryptographic hardware and embedded systems
Practical improvements of profiled side-channel attacks on a hardware crypto-accelerator
AFRICACRYPT'10 Proceedings of the Third international conference on Cryptology in Africa
A new difference method for side-channel analysis with high-dimensional leakage models
CT-RSA'12 Proceedings of the 12th conference on Topics in Cryptology
COSADE'12 Proceedings of the Third international conference on Constructive Side-Channel Analysis and Secure Design
An efficient leakage characterization method for profiled power analysis attacks
ICISC'11 Proceedings of the 14th international conference on Information Security and Cryptology
Analyzing side channel leakage of masked implementations with stochastic methods
ESORICS'07 Proceedings of the 12th European conference on Research in Computer Security
A statistical model for DPA with novel algorithmic confusion analysis
CHES'12 Proceedings of the 14th international conference on Cryptographic Hardware and Embedded Systems
Efficient template attacks based on probabilistic multi-class support vector machines
CARDIS'12 Proceedings of the 11th international conference on Smart Card Research and Advanced Applications
Revealing side-channel issues of complex circuits by enhanced leakage models
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Profiling DPA: efficacy and efficiency trade-offs
CHES'13 Proceedings of the 15th international conference on Cryptographic Hardware and Embedded Systems
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Template Attacks and the Stochastic Model provide advanced methods for side channel cryptanalysis that make use of ‘a-priori’ knowledge gained from a profiling step. For a systematic comparison of Template Attacks and the Stochastic Model, we use two sets of measurement data that originate from two different microcontrollers and setups. Our main contribution is to capture performance aspects against crucial parameters such as the number of measurements available during profiling and classification. Moreover, optimization techniques are evaluated for both methods under consideration. Especially for a low number of measurements and noisy samples, the use of a T-Test based algorithm for the choice of relevant instants can lead to significant performance gains. As a main result, T-Test based Templates are the method of choice if a high number of samples is available for profiling. However, in case of a low number of samples for profiling, stochastic methods are an alternative and can reach superior efficiency both in terms of profiling and classification.