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communications hinders traditional deep packet inspection for malware detection. This research aims to develop lightweight, behaviour-based anomaly detection systems. These systems will identify malicious activity
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at engineering or technical managers to plan and execute project activities for hardware and software engineers. The guidelines and specifications will allow hardware and firmware engineers to develop proof
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research identifies an active and growing research field, with numerous advancements in the past 18 months. A focus on generative AI agents has progressed capabilities towards exploiting zero-day
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