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several processing units with variable memory, can be profiled to pool the resources. The analytical systems, developed on data collected by onboard sensors and software triggers, can assist the operating
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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solutions are not yet evident. There are several aspects that should be considered: The level of AI sophistication in terms of decision-making autonomy and human-machine teaming. The use of logic and data
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