Software Engineering for Real-Time Systems
Software Engineering for Real-Time Systems
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Computer Organization
CRYPTO '99 Proceedings of the 19th Annual International Cryptology Conference on Advances in Cryptology
Timing Attacks on Implementations of Diffie-Hellman, RSA, DSS, and Other Systems
CRYPTO '96 Proceedings of the 16th Annual International Cryptology Conference on Advances in Cryptology
CHES '02 Revised Papers from the 4th International Workshop on Cryptographic Hardware and Embedded Systems
Guide to Elliptic Curve Cryptography
Guide to Elliptic Curve Cryptography
MiBench: A free, commercially representative embedded benchmark suite
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
Computer Architecture, Fourth Edition: A Quantitative Approach
Computer Architecture, Fourth Edition: A Quantitative Approach
Digital Signal Processing (4th Edition)
Digital Signal Processing (4th Edition)
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
Stuxnet: Dissecting a Cyberwarfare Weapon
IEEE Security and Privacy
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One of the hardest aspects of embedded software development is that of debugging, especially when faulty behavior is observed at the production or deployment stage. Non-intrusive observation of the system's behavior is often insufficient to infer the cause of the problem and identify and fix the bug. In this work, we present a novel approach for non-intrusive program tracing aimed at assisting developers in the task of debugging embedded systems at deployment or production stage, where standard debugging tools are usually no longer available. The technique is rooted in cryptography, in particular the area of side-channel attacks. Our proposed technique expands the scope of these cryptographic techniques so that we recover the sequence of operations from power consumption observations (power traces). To this end, we use digital signal processing techniques (in particular, spectral analysis) combined with pattern recognition techniques to determine blocks of source code being executed given the observed power trace. One of the important highlights of our contribution is the fact that the system works on a standard PC, capturing the power traces through the recording input of the sound card. Experimental results are presented and confirm that the approach is viable.