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Peer to Peer Botnet Detection Based on Flow Intervals
[chapter]
2012
IFIP Advances in Information and Communication Technology
Botnets are becoming the predominant threat on the Internet today and is the primary vector for carrying out attacks against organizations and individuals. Botnets have been used in a variety of cybercrime, from click-fraud to DDOS attacks to the generation of spam. In this paper we propose an approach to detect botnet activity by classifying network traffic behavior using machine learning classification techniques. We study the feasibility of detecting botnet activity without having seen a
doi:10.1007/978-3-642-30436-1_8
fatcat:puuzvflvcrg7bke67o3wwlw3sa