Botnet Detection Based on Machine Learning Techniques in P2P Networks

Botnet Detection Based on Machine Learning Techniques in P2P Networks

Pavana K P1, Rohith Adiga H R2, Shubha M L 3, Vinayaka Patil K G4, Mohan H G5

1,2,3,4 Research Scholars, Dept. of CS&E, JNNCE, Shimoga, India

5 Assistant Prof., Dept. of CS&E, JNNCE, Shimoga, India

Abstract— A botnet is a network of computers that are controlled from a botmaster or a command and-control server. Botnet is a major threat on the internet. P2P botnet is a representative of P2P malicious programs. Botmaster gives a command and control (C&C) information via a unique communication channel. It remotely controls the bots that are compromised to initiate malicious activities like distributed denial of service (DDoS) attack, spamming, phishing, and sensitive information stealing. The approaches using Machine learning are used in botnet detection. They are useful to extract unexpected patterns from traffic. In this paper some of the possible technical solutions proposed by researchers are reviewed.

Keywords— Botnet, malicious programs, botnet detection