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Building a Scalable System for Stealthy P2P-Botnet
Detection
ABSTRACT : Peer-to-peer (P2P) botnets have recently been adopted by
botmasters for their resiliency against take-down efforts. Besides being harder to
take down, modern botnets tend to be stealthier in the way they perform malicious
activities, making current detection approaches ineffective. In addition, the rapidly
growing volume of network traffic calls for high scalability of detection systems.
In this paper, we propose a novel scalable botnet detection system capable of
detecting stealthy P2P botnets. Our system first identifies all hosts that are likely
engaged in P2P communications. It then derives statistical fingerprints to profile
P2P traffic and further distinguish between P2P botnet traffic and legitimate P2P
traffic. The parallelized computation with bounded complexity makes scalability a
built-in feature of our system. Extensive evaluation has demonstrated both high
detection accuracy and great scalability of the proposed system.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz

2.  RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA
SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.