A Survey on BotShark - Detection and Prevention of Peer-to-Peer Botnets by Tracking Conversation using CART
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 110 | Views: 777

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016 | Popularity: 6.1 / 10


     

A Survey on BotShark - Detection and Prevention of Peer-to-Peer Botnets by Tracking Conversation using CART

Pooja M. Pondkule, B. Padmavathi


Abstract: Detection of bots in peer-to-peer network is very tedious task. Their distributed nature also reveal rigidity against take-down attempts. Moreover, some bots are blatant in the communication pattern and advert the standard discovery techniques. In this system we are presenting a technique for faster detection of botnets using Classification And Regression Tree (CART).


Keywords: Botnet, Botmaster, Data Mining, CART- Classification And Regression Tree


Edition: Volume 5 Issue 11, November 2016


Pages: 1445 - 1447



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Pooja M. Pondkule, B. Padmavathi, "A Survey on BotShark - Detection and Prevention of Peer-to-Peer Botnets by Tracking Conversation using CART", International Journal of Science and Research (IJSR), Volume 5 Issue 11, November 2016, pp. 1445-1447, https://www.ijsr.net/getabstract.php?paperid=ART20163102, DOI: https://www.doi.org/10.21275/ART20163102

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