NDLI: Distributed Intrusion Detection System for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Medhat, K. Ramadan, R.A. Talkhan, I.
Copyright Year	2015
Description	Author affiliation: Comput. Eng. Dept., Cairo Univ., Cairo, Egypt (Medhat, K.; Ramadan, R.A.; Talkhan, I.)
Abstract	Wireless Sensor Networks is extensively used in many of applications related to different fields. Some of those applications deal with confidential and critical data that must be protected from unauthorized access. Some other systems use WSNs that are deployed in very harsh environments with limited energy resources. Those systems cannot tolerate network failures that can be caused by network intruders. In this paper, an efficient intrusion detection model is introduced. The model uses intelligent techniques to detect intrusions. Two different architectures are introduced. The first architecture represents the level of sensor node, sink node, and base station. The second architecture represents the levels of sensor and sink nodes. This work proposes two intrusion detection algorithms, one uses a supervised learning mechanism to be used on the level of the sensor node and the other uses an unsupervised learning mechanism to be used on the levels of both the sink node and base station. The output of the algorithms is a set of detection rules which are structured in the form of binary tree. The introduced algorithms provided a high detection accuracy using less number of selected features, compared to previous work for intrusion detection, which decreases the complexity and the processing time. The proposed learning algorithms used only 10% of the data for training. An enhancement for J48 classification algorithm is also introduced which decreases the size of the algorithm's decision tree and makes it suitable to be used for intrusion detection in WSNs.
Starting Page	234
Ending Page	239
File Size	233875
Page Count	6
File Format	PDF
ISBN	9781479986606
DOI	10.1109/NGMAST.2015.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-09
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion Detection Wireless sensor networks Base stations Intrusion detection Classification Classification algorithms Complexity theory Decision trees Clustering Unsupervised learning feature selection Wireless Sensor Networks Security
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

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