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Mitigating Cyberattack with Machine Learning-Based Feature Space Transforms
With the increase in attacks on software systems, there is a need for a new approach in software defense. In this work, we explore machine learning-based approaches for the detection and mitigation of attacks. A machine ...
Hardware-Based Workload Forensics and Malware Detection in Modern Microprocessors
Traditional computer forensics and/or malware detection methods are generally implemented at the operating system (OS) or the hypervisor level, which benefits from abundant software semantics and implementation flexibility. ...