AN EFFICIENT FLOW BASED BOTNET CLASSIFICATION USING CONVOLUTION NEURAL NETWORK - Tapa blanda

Sinopsis

Stealthy malware is to a great extent on the Internet framework in charge of attacks, for the expansion of spontaneous spam messages, and for private data exhilaration from end clients and associations. Infected hosts (additionally called bots) are likewise used to host, or fill in as intermediaries for, phishing locales, spammer destinations, and those with different malicious content. These exercises are performed by infected hosts at the attacker command, i.e., the bot-master, where correspondences amongst bots and the bot-master frequently occur over existing system conventions, including HTTP, shared (P2P) systems and Internet Relay Chat (IRC). Lamentably, the host detection of infected host is hard with such malware, since as a matter of course they do little to stir doubt: e.g., for the most part their correspondences neither devour bandwidth significantly nor include a substantial number of targets

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