NDLI: Intrusion detection in wireless networks using Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Khan, F.H. Shams, R. Aamir, M. Waseem, M. Memon, M.
Copyright Year	2015
Description	Author affiliation: Electr. Eng. Eng. Dept., Inst. of Bus. Manage. (IoBM), Karachi, Pakistan (Memon, M.) \|\| Electron. Eng. Dept., Sir Syed Univ. of Eng. & Technol., Karachi, Pakistan (Aamir, M.) \|\| Dept. of Math., Sir Syed Univ. of Eng. & Technol., Karachi, Pakistan (Khan, F.H.) \|\| Telecommun. Eng. Dept., Sir Syed Univ. of Eng. & Technol., Karachi, Pakistan (Shams, R.; Waseem, M.)
Abstract	It is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. As the growth of computer networks is increasing day by day in modern society, therefore network security is one of the hottest issue to be solved. This paper proposes application of Genetic Algorithm (GA) for network intrusion detection system. Any action that tries to compromise the confidentially, integrity or availability of resources is termed as intrusion and the detection of such intrusion by the help of a system is called as intrusion detection system (IDS). The proposed GA is a hybrid evolutionary technique specially developed for intrusion detection. The technique developed has been implemented and the experiments have shown the promising results. The evolutionary process of this technique including its parameters and the experimental outcomes are discussed at length in this paper. In this paper we have made the comparison of our technique with the GNN classifier technique and the outcomes from our experiment have given promising results towards applying genetic algorithm for network intrusion detection.
Starting Page	1830
Ending Page	1835
File Size	169069
Page Count	6
File Format	PDF
ISBN	9789380544151
e-ISBN	9789380544168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Bharati Vidyapeeth University, New Delhi
Subject Keyword	Training Sociology Genetic algorithm Intrusion detection Wireless networking Security Statistics Biological cells Genetic algorithms Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Intrusion detection system using genetic algorithm

The Research of Intrusion Detection Technology Based on Genetic Algorithms

Training of intelligent intrusion detection system using neuro fuzzy

Community detection using parallel genetic algorithms

Research of intrusion detection based on genetic clustering algorithm

IGIDS: Intelligent intrusion detection system using genetic algorithms

Intrusion detection using evolving fuzzy classifiers

A Hybrid Approach for Network Intrusion Detection

Genetic algorithm based intrusion detection system for wireless body area networks

Intrusion detection in wireless networks using Genetic Algorithm

Similar Documents

Intrusion detection system using genetic algorithm

The Research of Intrusion Detection Technology Based on Genetic Algorithms

Training of intelligent intrusion detection system using neuro fuzzy

Community detection using parallel genetic algorithms

Research of intrusion detection based on genetic clustering algorithm

IGIDS: Intelligent intrusion detection system using genetic algorithms

Intrusion detection using evolving fuzzy classifiers

A Hybrid Approach for Network Intrusion Detection

Genetic algorithm based intrusion detection system for wireless body area networks

Intrusion detection in wireless networks using Genetic Algorithm