• Prof. Chaitali Bhalerao
• Riddhika Kulkarni
• Swapnil Bobade
• Krutika Bharekar
• Vaishnavi Zadbuke

A botnet is a group of computers linked to the Internet which have been compromised and are being controlled remotely by the botmaster through malicious software called bots. While substantial research work has been accomplished on botnet analysis and detection, many challenges remain unaddressed, such as the ability to design detectors that can cope with new forms of botnets. So there is a need for an advanced system that can detect traffic behavior accurately. This paper provides the state-of-art techniques used by the researchers for the detection of a botnet attack.

A Survey on HTTP BotNet Detection Techniques using Machine Learning

"A Survey on HTTP BotNet Detection Techniques using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.315-319, February-2021, Available :http://www.jetir.org/papers/JETIR2102033.pdf

"A Survey on HTTP BotNet Detection Techniques using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp315-319, February-2021, Available at : http://www.jetir.org/papers/JETIR2102033.pdf