NDLI: Artificial immune system based intrusion detection in a distributed hierarchical network architecture of smart grid

Content Provider	IEEE Xplore Digital Library
Author	Yichi Zhang Lingfeng Wang Weiqing Sun Green, R.C. Alam, M.
Copyright Year	2011
Description	Author affiliation: Engineering Technology Department, University of Toledo, Toledo, OH 43606 (Weiqing Sun) \|\| Department of Electrical Engineering and Computer Science, University of Toledo, Toledo, OH 43606 (Yichi Zhang; Lingfeng Wang; Green, R.C.; Alam, M.)
Abstract	The advent of the smart grid promises to usher in an era that will bring intelligence, efficiency, and optimality to the power grid. Most of these changes will occur as an Internet-like communications network is superimposed on top of the current power grid using wireless technologies including 802.15.4, 802.11, and the Zigbee protocol. Each of these will expose the power grid to cyber security threats. In order to address this issue, this work proposes a Distributed Intrusion Detection System for Smart Grids (SGDIDS) by developing and deploying an intelligent module, the Analyzing Module (AM) in the multiple layers of smart grids. Multiple AMs will be embedded at each level of the smart grid — the home area network (HAN), neighborhood area network (NAN), and the Wide Area Network (WAN) — where they will use Artificial Immune System (AIS) to detect and classify malicious data and possible cyber attacks. AMs at each level will be trained using data that is relevant to their level and will also be able to communicate in order to improve detection. Simulation results demonstrate that this is a promising methodology for identifying malicious network traffic and improving system security.
Starting Page	1
Ending Page	8
File Size	991182
Page Count	8
File Format	PDF
ISBN	9781457710001
ISSN	19449925
e-ISBN	9781457710025
e-ISBN	9781457710018
DOI	10.1109/PES.2011.6039697
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Classification algorithms Smart grids Intrusion detection Communication networks Network topology Immune system data classification smart grid cyber security intrusion detection artificial immune system
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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