Recently Downloaded: Paper ID: ART20197283, Total 245 Articles Downloaded Today
BotNet Detection by Monitoring Network Traffic Using K-ANN Algorithm
Arvind Kishanrao Rathod
Abstract: A botnet is a collection of computers or other devices such as smartphones connected to the Internet whose security have been compromised or breached and are being controlled remotely by an intruder (the botmaster) via malwares (malicious software) called bots. The controller of botnet is able to direct the activities of these compromised computers through communication channels formed by standards. In order to secure network from those bot network and to provide secure network for organization. Due to increase of the cyber threat, I have made cyber security paramount for protecting personal and private information to get more secure network in the real time information; I have to provide the most highly secure network environment, network traffic monitoring and the most important threats detection system that is varied from the enterprise networks.
Keywords: SMB, DDoS, C&C, P2P
Country: India, Subject Area: Computer Engineering
Pages: 204 - 207
Edition: Volume 8 Issue 3, March 2019
How to Cite this Article?
Arvind Kishanrao Rathod, "BotNet Detection by Monitoring Network Traffic Using K-ANN Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/archive/v8i3/show_abstract.php?id=ART20195914, Volume 8 Issue 3, March 2019, 204 - 207
Viewed 44 times.
Downloaded 18 times.