CRYPTO '99 Proceedings of the 19th Annual International Cryptology Conference on Advances in Cryptology
Power Analysis Attacks: Revealing the Secrets of Smart Cards (Advances in Information Security)
Power Analysis Attacks: Revealing the Secrets of Smart Cards (Advances in Information Security)
Failure trends in a large disk drive population
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
Measurement and dynamical analysis of computer performance data
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
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Nonlinear dynamics and graph theory may provide a theorem-based path to improve design security and aid detection of anomalous events in cyber applications. Using side-channel information such as power taken from underlying computer components and analyzing noisy data such as timing, we ask the question of whether such data can reveal anomalous activity or verify the changing dynamics of an underlying computer system. Takens' theorem in nonlinear dynamics allows reconstruction of topologically invariant, time-delay-embedding states from the computer dynamics in a sufficiently high-dimensional space. The resultant dynamical states are vertices, and the state-to-state transitions are edges in a graph. Graph theorems guarantee topologically invariant measures to quantify the dynamical changes, based on the applications that are executing. This paper highlights recent applications of the phase-space analysis technique in the non-cyber realm (forewarning of biomedical events and equipment failures), and proposes new applications that would bolster cyber event detection.