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OALib Journal期刊
ISSN: 2333-9721
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A Review on Botnet and Detection Technique

Keywords: Botnet , botnet detection , HTTP Botnet , Data Mining

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Abstract:

Among the diverse forms of malware, Botnet is the most widespread and serious threat which occurs commonly in today's cyber-attacks. A botnet is a group of compromised computers which are remotely controlled by hackers to launch various network attacks, such as DDoS attack, spam, click fraud, identity theft and information phishing. Botnet has become a popular and productive tool behind many cyberattacks. The defining characteristic of botnets is the use of command and control channels through which they can be updated and directed. Recently malicious botnets evolve into HTTP botnets out of typical IRC botnets. Data mining algorithms allow us to automate detecting characteristics from large amount of data, which the conventional heuristics and signature based methods could not apply

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