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CSOC2018 2018: Software Engineering and Algorithms in Intelligent Systems pp 12–19Cite as

An Efficient Security System in Wireless Local Area Network (WLAN) Against Network Intrusion

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 763))

Abstract

The computer network faces any kind of unauthorized activities i.e. Network Intrusion (NI). The detection of these NI needs a better understanding of how the attacks work. The NI detection is necessary to protect the system information in current activities of the cyber attacks. This paper is intended to improve the security aspect in the Wireless Local Area Network (WLAN) by implementing a machine learning approach i.e. Support Vector Machines (SVMs). In this, the computer lab generated data are used for experimentation. The SVM detects the NI by recognizing the patterns of attack. The simulation outcome of the proposed security framework recognizes the NI and bells the alarm. The analysis of this security system is performed by considering the efficiency of detection and false alarm rate that offers significant coverage and effective detection.

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Author information

Authors and Affiliations

  1. Atria Institute of Technology, Bengaluru, KR, India

    P. H. Latha

  2. Sambharm Institute of Technology, Bengaluru, KR, India

    R. Vasantha

Authors
  1. P. H. Latha
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  2. R. Vasantha
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Corresponding author

Correspondence to P. H. Latha .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Latha, P.H., Vasantha, R. (2019). An Efficient Security System in Wireless Local Area Network (WLAN) Against Network Intrusion. In: Silhavy, R. (eds) Software Engineering and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 763. Springer, Cham. https://doi.org/10.1007/978-3-319-91186-1_2

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