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WIDS Real-Time Intrusion Detection System Using Entrophical Approach

  • Kamalanaban Ethala
  • R. Sheshadri
  • S. Sibi Chakkaravarthy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 324)

Abstract

Nowadays, threats, worms, virus, and malwares in the Internet and security breaches such as intrusion and penetration testing in the network are quite common and lead to the loss of huge amount data. In recent decades, various researchers revealed their perceptions on security and security-related issues. In this paper, we propose a robust intrusion detection system based on Entrophical approach. Here, our system monitors the normal behavior of the network by means of probabilistic system with monitoring active ARP protocol in all PCAP files captured by packet analyzer and detects the intrusion by means of deviation in the PCAP. Entrophical approach deals with profiling strategy; here, data logs of users are classified as profiles such as base, daemon, and user. Various IDS are compared with the Entrophical model-based IDS. Experimental results compared with snort, security onion, and our methodology show that Entrophical model is a level head through many phases, and the comparison outstrips with reliable performance. Real-time results have also been enhanced. This is the first claim for designing an IDS model to combat the real-time attacks such as aircrack-ng, airmon-ng, and airodump-ng from the operating system “BACKTRACK.”

Keywords

BACKTRACK WLAN Snort IDS Entrophical approach Kali Linux 

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Copyright information

© Springer India 2015

Authors and Affiliations

  • Kamalanaban Ethala
    • 1
  • R. Sheshadri
    • 2
  • S. Sibi Chakkaravarthy
    • 1
  1. 1.Department of Computer Science and EngineeringVel Tech UniversityChennaiIndia
  2. 2.Department of Computer Science and EngineeringSri Venkateswara UniversityTirupathiIndia

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