Revealing the Criterion on Botnet Detection Technique

Botnet have already made a big impact that need much attention as one of the most emergent threats to the Internet security. More worst when the peer-to-peer (P2P) botnets take the inspiration and underlying P2P technology to exchange files making botnets much harder to detect and shut down. It make botnets are the biggest threat to internet stability and security. Hence, Botnet detection and prevention has been an interesting research topic to be highlighted. Various types of techniques have been proposed for detection, prevention and mitigation for Botnet attack. Thus, this paper addresses the current trend of Botnet detection techniques and identifies the significant criteria in each technique. Several existing techniques are analyzing from 45 various researches and the capability criteria of Botnet detection techniques have been reviewed. The comparative analysis of these techniques have been shown on the selected detection criteria including; unknown Botnet detection, protocol and structure independent, low false positive, low cost, low risk, encrypted bot detection, real-world detection, not require prior knowledge and reveal bot servers and C&C migration.