Identification of Peer-to-Peer Botnets in DDOS Attacks

Abstract

A Distributed denial of service (DDOS) is an coordinated attack generated by multiple computer systems attack a target (i.e) a server, or other network resource and cause a Denial of service (DOS)attack for users. A Botnet is a network of computers under the control of a Bot master. Each individual device in a botnet is referred as a bot. The most common application of botnet includes DDOS attack, Data theft and email spam. In existing approaches there is a difficult in testing the algorithm over more datasets, in order to examine the impact on performance of the nature of the system under attack, and the different behaviors of users surfing on the network. In this paper, we propose a Botnet detection technique by using this technique we can able to handle more datasets as well as we can also identify the bots in the network. To do this a bot scanner is used to scan the incoming file of the normal user if the incoming file is a malicious file then the bot scanner blocks that file and trace the IP address in order to identify botnet in the network.