Toward Efficient Evaluation of Logic Encryption Schemes: Models and Metrics
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Research in logic encryption over the last decade has resulted in various techniques to prevent different security threats such as Trojan insertion, intellectual property leakage, and reverse engineering. However, there is little agreement on a uniform set of metrics and models to efficiently assess the achieved security level and the trade-offs between security and overhead. This paper addresses the above challenges by relying on a general logic encryption architecture that can encompass all the existing techniques, and a uniform set of metrics that can capture multiple, possibly conflicting, security concerns. We apply our modeling framework to four state-of-the-art encryption techniques, showing that it enables fast and accurate evaluation of design trade-offs and provides support for the implementation of compound encryption methods.
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