DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-7,Issue-8 ( Aug, 2019 ) | |||||||||
Paper Title |
Peer-To-Peer Botnet: Analysis of Botnet Detection Techniques using Machine Learning Algorithms | |||||||||
Author Name |
Shabnam, Aditya K Saxena, Chirag Joshi | |||||||||
Affilition |
Reaserach Scholar, DIT University Dehradun, Uttarakhand, India Asst. Professor, DIT University Dehradun, Uttarakhand, India | |||||||||
Pages |
19-25 | |||||||||
Abstract |
The collection of several infectious bots together running over an infected software forms the botnet. The botnet have the centralized command and control architecture but these system has a drawback of complete shutdown of the system when default occurs, this is the single point failure in the botnet. To overcome this fault decentralized peer-to-peer botnet have been introduced. In this paper we review different approaches to detect peer-to-peer botnet and the machine learning algorithms they had used in their work. We also compared the accuracy of different models used by other authors for the detecting botnet. Keywords - Botnet, Peer-To-Peer, Detection, Machine Learning, Support Vector Machine, Decision Tree. | |||||||||
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