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The Digitization of Society – Case of Specific Chosen State Alliance of Four Central European States Read chapter Read first chapter

2019 | OriginalPaper | Chapter

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

Authors : P. H. Latha, R. Vasantha

Published in: Software Engineering and Algorithms in Intelligent Systems

Publisher: Springer International Publishing

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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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Metadata
Title
An Efficient Security System in Wireless Local Area Network (WLAN) Against Network Intrusion
Authors
P. H. Latha
R. Vasantha
Copyright Year
2019
Book
Software Engineering and Algorithms in Intelligent Systems

Print ISBN: 978-3-319-91185-4

Electronic ISBN: 978-3-319-91186-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-91186-1_2

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