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Overview: The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing Artificial Intelligence for cyber defense and smart policing. Organizations share information about cyber attacks as a crucial component of cyber threat intelligence, in order to enhance their understanding of potential threats and proactively safeguard their systems and networks. Cyber-attacks and defenses both rely heavily on Machine Learning, but neither of them achieve their goals when they rely on it completely. A malware sniffer can detect malware in encrypted traffic based on an analysis of encrypted traffic elements in network telemetry. The algorithms of Machine Learning uncover threats hidden in encryption, instead of decrypting them.
Genre: Non-Fiction > Tech & Devices
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