Towards an Early Warning System for Network Attacks Using Bayesian Inference

Harsha Kumara Kalutarage; Chonho Lee; Siraj Ahmed Shaikh; Francis Lee Bu Sung

doi:10.1109/CSCloud.2015.35

Towards an Early Warning System for Network Attacks Using Bayesian Inference

Harsha Kumara Kalutarage, Chonho Lee, Siraj Ahmed Shaikh, Francis Lee Bu Sung

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

6 Citations (Scopus)

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	Institute of Electrical and Electronics Engineers Inc.
Pages	399-404
Number of pages	6
ISBN (Electronic)	978-1-4673-9300-3
DOIs	https://doi.org/10.1109/CSCloud.2015.35
Publication status	Published - 07 Jan 2016
Externally published	Yes
Event	2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - New York, United States Duration: 03 Nov 2015 → 05 Nov 2015

Conference

Conference	2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015
Country/Territory	United States
City	New York
Period	03/11/2015 → 05/11/2015

Keywords

Bayesian inference
Early warning systems
Low quality data analysis
Network security

ASJC Scopus subject areas

Computer Networks and Communications
Safety, Risk, Reliability and Quality

Access to Document

10.1109/CSCloud.2015.35Licence: Unspecified

Cite this

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title = "Towards an Early Warning System for Network Attacks Using Bayesian Inference",

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.",

keywords = "Bayesian inference, Early warning systems, Low quality data analysis, Network security",

author = "Kalutarage, {Harsha Kumara} and Chonho Lee and Shaikh, {Siraj Ahmed} and Sung, {Francis Lee Bu}",

year = "2016",

month = jan,

day = "7",

doi = "10.1109/CSCloud.2015.35",

language = "English",

pages = "399--404",

booktitle = "2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 ; Conference date: 03-11-2015 Through 05-11-2015",

}

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)., 7371513, Institute of Electrical and Electronics Engineers Inc., pp. 399-404, 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015, New York, United States, 03/11/2015. https://doi.org/10.1109/CSCloud.2015.35

Towards an Early Warning System for Network Attacks Using Bayesian Inference. / Kalutarage, Harsha Kumara; Lee, Chonho; Shaikh, Siraj Ahmed et al.
2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud). Institute of Electrical and Electronics Engineers Inc., 2016. p. 399-404 7371513.

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

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PY - 2016/1/7

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AB - 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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T2 - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015

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ER -

Towards an Early Warning System for Network Attacks Using Bayesian Inference

Abstract

Conference

Keywords

ASJC Scopus subject areas

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