A BOTNET DETECTION TECHNIQUES

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