NDLI: Detecting cyber intrusions in SCADA networks using multi-agent collaboration

Content Provider	IEEE Xplore Digital Library
Author	Shosha, A.F. Gladyshev, P. Shinn-Shyan Wu Chen-Ching Liu
Copyright Year	2011
Description	Author affiliation: School of Electrical, Electronic, and Mechanical Engineering, University College Dublin, Ireland (Shinn-Shyan Wu; Chen-Ching Liu) \|\| School of Computer Science and Informatics, University College Dublin, Ireland (Shosha, A.F.; Gladyshev, P.)
Abstract	Current SCADA (Supervisory Control and Data Acquisition) system architecture increases the interconnectivity to/from other distributed networks and services. In addition, within the SCADA networks there are different types of sub-networks and protocols that are used to monitor and control industrial operations. This complex expansion increases the productivity of SCADA networks; however, it also increases security risks and threats. The state-of-the-art Intrusion Detection Systems (IDSs) are not capable enough of detecting anomalies and intrusions that may be aimed to disrupt the SCADA operations. This paper proposes a Distributed Intrusion Detection System (DIDS) based on a community collaboration between multiple agents of anomaly detectors to identify anomaly behaviors in SCADA networks. The proposed architecture for DIDS incorporates the SCADA network topology and connectivity constraints. In this paper, detailed architecture, components, and functions of DIDS are described and attack scenarios are developed to validate the effectiveness of the proposed methodology
Starting Page	1
Ending Page	7
File Size	497764
Page Count	7
File Format	PDF
ISBN	9781457708077
e-ISBN	9781457708091
e-ISBN	9781457708084
DOI	10.1109/ISAP.2011.6082170
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Substations Protocols Correlation Cyber Security Artificial neural networks Neural Networks Distributed Intrusion Detection Systems Engines Anomaly Detection SCADA Networks Multi-Agent Systems IP networks Payloads
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 Libarray 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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