A BOTNET DETECTION TECHNIQUES

Botnets are emerging as the most serious threat against cyber-security as they provide a<br>distributed platform for several illegal activities such as launching distributed denial of service attacks<br>against critical targets, malware dissemination, phishing, and click fraud. The defining characteristic of<br>botnets is the use of command and control channels through which they can be updated and directed.<br>Recently, botnet detection has been an interesting research topic related to cyber-threat and cyber-crime<br>prevention. This paper is a survey of botnet and botnet detection. The survey clarifies botnet<br>phenomenon and discusses botnet detection techniques. This survey classifies botnet detection<br>techniques into four classes: signature-based, anomaly-based, DNS-based, and mining-base.