NDLI: A Kind of Formal Modelling for Network Security Situational Awareness Based on HMM

Content Provider	IEEE Xplore Digital Library
Author	Ying Liang Huiqiang Wang Yonggang Pang
Copyright Year	2008
Description	Author affiliation: Harbin Eng. Univ., Harbin (Ying Liang; Huiqiang Wang; Yonggang Pang)
Abstract	Hidden Markov model (HMM) was introduced to model network security situational awareness (NSSA). The model was built from a novel perspective, both the distributions of anomaly behaviour and operational states of main network services were abstracted by Markov chain, modelling objects of HMM's dual stochastic process were constructed, classic Baum-Welch algorithm was used to estimate the parameters of the established mathematical model, and then the formal model for network security situational awareness based on HMM was constructed. Simulation experiments were done in local area network (LAN), and the obtained experimental results showed that the model could achieve quantitative descriptions for attacks and their impacts on security more precisely and effectively than the existing solutions, which helps to realize quantitative awareness for network security situation.
Starting Page	598
Ending Page	605
File Size	407057
Page Count	8
File Format	PDF
ISBN	9780769531854
DOI	10.1109/WAIM.2008.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training situational awareness anomaly behavior Analytical models network security Hidden Markov models Stochastic processes HMM Security Mathematical model Servers network service
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
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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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