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Title: Design & analysis of clustering based intrusion detection schemes for e-governance Authors: ID Gupta, Rajan (Author) ID Muttoo, Sunil K. (Author) ID Pal, Saibal K. (Author) Files: https://doi.org/10.1007/978-3-319-47952-1_36   Language: English Work type: Unknown Typology: 1.08 - Published Scientific Conference Contribution Organization: UNG - University of Nova Gorica Abstract: The problem of attacks on various networks and information systems is increasing. And with systems working in public domain like those involved under E-Governance are facing more problems than others. So there is a need to work on either designing an altogether different intrusion detection system or improvement of the existing schemes with better optimization techniques and easy experimental setup. The current study discusses the design of an Intrusion Detection Scheme based on traditional clustering schemes like K-Means and Fuzzy C-Means along with Meta-heuristic scheme like Particle Swarm Optimization. The experimental setup includes comparative analysis of these schemes based on a different metric called Classification Ratio and traditional metric like Detection Rate. The experiment is conducted on a regular Kyoto Data Set used by many researchers in past, however the features extracted from this data are selected based on their relevance to the E-Governance system. The results shows a better and higher classification ratio for the Fuzzy based clustering in conjunction with meta-heuristic schemes. The development and simulations are carried out using MATLAB. Keywords: particle swarm optimization, intrusion detection, anomaly detection, intrusion detection system, network intrusion detection Year of publishing: 2016 Number of pages: Str. 461-471 PID: 20.500.12556/RUNG-6425  COBISS.SI-ID: 58232579  UDC: 004 DOI: 10.1007/978-3-319-47952-1_36  NUK URN: URN:SI:UNG:REP:M9ZZ5O7R Publication date in RUNG: 02.04.2021 Views: 2988 Downloads: 10 Metadata:    Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Copy citation

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Record is a part of a monograph

Title:	Intelligent Systems Technologies and Applications 2016
Editors:	Juan Manuel Corchado
Place of publishing:	Cham
Publisher:	Springer Nature
ISBN:	978-3-319-47952-1
COBISS.SI-ID:	58232067
Collection title:	Advances in intelligent systems and computing (Internet)
Collection numbering:	530
Collection ISSN:	2194-5365

Secondary language

Language:	Undetermined
Title:	Design and analysis of clustering based intrusion detection schemes for e-governance

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