Volume 6 Number 4 (Apr. 2011)
Home > Archive > 2011 > Volume 6 Number 4 (Apr. 2011) >
JSW 2011 Vol.6(4): 678-689 ISSN: 1796-217X
doi: 10.4304/jsw.6.4.678-689

Substantiating Anomalies In Wireless Networks Using Group Outlier Scores

Elankayer Sithirasenan and Vallipuram Muthukkumarasamy
School of Information and Communication Technology, Griffith University, Gold Coast, Australia

Abstract—Huge amounts of network traces can be collected from today’s busy computer networks. Analyzing these traces could pave the way to detect unusual conditions and/or other anomalies. Presently, due to the lack of effective substantiating mechanisms intrusion detection systems often exhibit numerous false positives or negatives. The efficiency of a network intrusion detection system (NIDS) depends very much on detecting and effectively validating the detected anomalies. Furthermore, most NIDSs do not have proven mechanisms that will easily accommodate legitimate dynamic changes. Achieving dynamic adaptation in real time has been a long standing desire for effective intrusion detection and prevention. Real time detection of outliers is a feasible option to substantiate anomalies in large data sets, leading to effective intrusion detection and prevention. In this context we propose and investigate a novel mechanism to detect intruders and to classify security threats using group outliers. Our system monitors for timing and/or behavioral anomalies and uses outlier based techniques to substantiate the anomaly. In this paper we introduce the concept of Group Outlier Score (GOS) and its use in substantiating security threats in wireless networks. We have tested the concept on our experimental wireless networking environment. The analysis of the results reveals that with a threshold value of 1.2 for GOS our system demonstrates optimum performance.

Index Terms—Security, Outlier Detection, Intrusion Detection, Wireless Networks.

[PDF]

Cite: Elankayer Sithirasenan and Vallipuram Muthukkumarasamy, "Substantiating Anomalies In Wireless Networks Using Group Outlier Scores," Journal of Software vol. 6, no. 4, pp. 678-689, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Aug 21, 2019 News!

    Papers published in JSW Vol 14, No 1- Vol 14 No 8 have been indexed by DBLP     [Click]

  • Jun 25, 2019 News!

    Vol.13, No.9 has been indexed by EI (Inspec).   [Click]

  • Aug 01, 2018 News!

    [CFP] 2020 the annual meeting of JSW Editorial Board, ICCSM 2020, will be held in Rome, Italy, July 17-19, 2020   [Click]

  • Jul 10, 2019 News!

    Vol 14, No.8 has been published with online version 4 original aritcles from 2 countries are published in this issue.    [Click]

  • Sep 12, 2019 News!

    Vol 14, No 10 has been published with online version 4 original aritcles from 2 countries are published in this issue      [Click]