Titlebook: Explainable AI for Cybersecurity; Zhixin Pan,Prabhat Mishra Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lic

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Shouchuan Hu,Nikolas S. Papageorgiou as anti-virus software, are not effective since they rely on matching patterns that can be easily fooled by carefully crafted malware with obfuscation or other deviation capabilities. While recent malware detection methods provide promising results through an effective utilization of hardware featu

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Characteristics of Electrolytes,own as hardware Trojans. Unfortunately, traditional simulation-based validation using millions of test vectors is unsuitable for detecting stealthy Trojans with extremely rare trigger conditions due to exponential input space complexity of modern SoCs. There is a critical need to develop efficient T

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Applications of Supercapacitors,ods that rely on the delay difference of a few gates, this framework utilizes critical path analysis to generate test vectors that can maximize the side-channel sensitivity. The experimental results demonstrate that this framework can significantly improve both side-channel sensitivity (59% on avera

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Conducting-Polymer-Based Supercapacitors,e promising machine learning-based HT detection techniques, they have three major limitations: ad hoc feature selection, lack of explainability, and vulnerability toward adversarial attacks. In this chapter, we describe an efficient HT detection approach using an effective combination of Shapley val

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