NDLI: Sensing for suspicion at scale: A Bayesian approach for cyber conflict attribution and reasoning

Content Provider	IEEE Xplore Digital Library
Author	Kalutarage, H.K. Shaikh, S.A. Qin Zhou James, A.E.
Copyright Year	2012
Description	Author affiliation: Digital Security and Forensics (SaFe) Research Group, Department of Computing, Faculty of Engineering and Computing, Coventry University, CV1 5FB, UK (Kalutarage, H.K.; Shaikh, S.A.; Qin Zhou; James, A.E.)
Abstract	Cyber conflict monitoring remains one of the biggest challenges today, amidst increasing scaling up of cyberspace in terms of size, bandwidth and volume. Added to this, the increased determination of cyber actors to operate beneath the threshold makes it ever more difficult to identify unauthorised activities with desired levels of certainty and demonstrability. We acknowledge a case for persistent and pervasive monitoring; detection of serious sabotage and espionage activities, however, is dependent, in part, upon the ability to maintain traffic history over extended periods of time, somewhat beyond current computational and operational constraints. This makes it crucial for research in cyber monitoring infrastructures, which are configured to handle cyberspace at live and modern scale and sense suspicious activity for further investigation. This paper explores Bayesian methods together with statistical normality to judge for effective activity attribution, particularly in high-volume high-scale environments, by combining both prior and posterior knowledge in the scenario. The set of experiments presented in this paper provides tactical and operational principles for systematic and efficient profiling and attribution of activity. Such principles serve a useful purpose for technologists and policy-makers who want to monitor cyberspace for suspicious and malicious behaviour, and narrow down to likely sources. The proposed approach is domain agnostic and hence of interest to a cross-disciplinary audience interested in technology, policy and legal aspects of cyber defence.
Starting Page	1
Ending Page	19
File Size	2097889
Page Count	19
File Format	PDF
ISBN	9781467312707
e-ISBN	9789949904099
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-05
Publisher Place	Estonia
Access Restriction	Subscribed
Rights Holder	CCD COE PUBLICATIONS
Subject Keyword	Charge coupled devices Cyber attacks Bayesian approach Bayesian methods Reasoning Cyberspace Intrusion detection Cognition Monitoring Anomaly detection Attribution
Content Type	Text
Resource Type	Article

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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
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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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