Fahimeh Hasani - Department of Computer, Science and Research Branch, Islamic Azad University, Tehran, Iran
Ebrahime Mehdipour - Department of Computer Engineering, Islamic Azad University, Tehran, Iran

Despite the increase in attacks and other security challenges in cyberspace, we require new methods of detection and to develop new techniques for the new generations of attacks.One of these new threats are botnets. This article presents the means for identifying infected machines with botnets byusing a behavioral analysis method. Work with botnets as a tool intended to carry out criminal activities has increased with large area in computer networks against large targets.The pattern of behavior By frequent studying on the nods and the visualization of traffic with FroceAtlas2 and PageRank algorithms have been presented by analyzing the data traffic, as a result, the nodes that have the most interactionstructure on bot in the network, have been identified as the machines infected with botnets.

Botnets, traffic analysis, network traffic visualization, infected machines, data visualization