BotHook: A Supervised Machine Learning Approach for Botnet Detection Using DNS Query Data

摘要

As of late, botnets are the most radical of all digital assaults and turning into the key issue in distributed computing. Botnets are the system of various traded off PCs or potentially cell phones. These gadgets are contaminated with pernicious code by bot ace and controlled as gatherings. The aggressors utilize these botnets for criminal exercises, for example, Distributed disavowal of administration, click misrepresentation, phishing, spamming, sniffing traffic and spreading new malware. The primary issue is how to identify these botnets? It turns out to be all the more intriguing for the analysts identified with digital security? This rouses us to compose a survey on botnets, its engineering and identification procedures. By checking DNS asks for, one can identify the presence of bots and botnets. Along these lines, We proposes a botnet discovery demonstrate dependent on machine learning using DNS query data and increment its adequacy utilizing machine learning systems.