Towards an Early Warning System for Network Attacks Using Bayesian Inference

H. K. Kalutarage; C. Lee; Siraj Ahmed Shaikh; F. L. B. Sung

doi:10.1109/CSCloud.2015.35

Towards an Early Warning System for Network Attacks Using Bayesian Inference

H. K. Kalutarage, C. Lee, Siraj Ahmed Shaikh, F. L. B. Sung

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

6 Citations (Scopus)

111 Downloads (Pure)

Abstract

The Internet has become the most vulnerable part of critical civil infrastructures. Proactive measures such as early warnings are required to reduce the risk of disasters that can be created using it. With the continuous growth in scale, complexity and variety of networked systems the quality of data is continuously decreasing. This paper investigates the ability to employ Bayesian inference for network scenario analysis with low quality data to produce early warnings. Theoretical account of the approach and experimental results using a real world attack scenario and a real network traffic capture is presented.

Original language	English
Title of host publication	2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)
Publisher	IEEE
Pages	399 - 404
ISBN (Electronic)	978-1-4673-9300-3
ISBN (Print)	978-1-4673-9299-0
DOIs	https://doi.org/10.1109/CSCloud.2015.35
Publication status	Published - 7 Jan 2016
Event	2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud) - New York, United States Duration: 3 Nov 2015 → 5 Nov 2015

Publication series

Name	2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)

Conference

Conference	2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)
Abbreviated title	CSCloud
Country/Territory	United States
City	New York
Period	3/11/15 → 5/11/15

Bibliographical note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

Bayes methods
Internet
alarm systems
computer network security
Bayesian inference
critical civil infrastructures
early warning system
network attacks
Early warning systems
Low quality data analysis
Network security
Heart beat
Payloads
Peer-to-peer computing
Protocols
Security

Access to Document

10.1109/CSCloud.2015.35

CSCloud 2015 PostReviewAccepted author manuscript, 467 KB

Cite this

Kalutarage, H. K., Lee, C., Shaikh, S. A., & Sung, F. L. B. (2016). Towards an Early Warning System for Network Attacks Using Bayesian Inference. In 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud) (pp. 399 - 404). (2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)). IEEE. https://doi.org/10.1109/CSCloud.2015.35

Towards an Early Warning System for Network Attacks Using Bayesian Inference. / Kalutarage, H. K.; Lee, C.; Shaikh, Siraj Ahmed et al.
2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud). IEEE, 2016. p. 399 - 404 (2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

Kalutarage, HK, Lee, C, Shaikh, SA & Sung, FLB 2016, Towards an Early Warning System for Network Attacks Using Bayesian Inference. in 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud). 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud), IEEE, pp. 399 - 404, 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud), New York, United States, 3/11/15. https://doi.org/10.1109/CSCloud.2015.35

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abstract = "The Internet has become the most vulnerable part of critical civil infrastructures. Proactive measures such as early warnings are required to reduce the risk of disasters that can be created using it. With the continuous growth in scale, complexity and variety of networked systems the quality of data is continuously decreasing. This paper investigates the ability to employ Bayesian inference for network scenario analysis with low quality data to produce early warnings. Theoretical account of the approach and experimental results using a real world attack scenario and a real network traffic capture is presented. ",

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KW - Low quality data analysis

KW - Network security

KW - Heart beat

KW - Payloads

KW - Peer-to-peer computing

KW - Protocols

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Towards an Early Warning System for Network Attacks Using Bayesian Inference

Abstract

Publication series

Conference

Bibliographical note

Keywords

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Cite this