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 proceedingConference contribution

4 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 languageEnglish
Title of host publication2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)
Publisher IEEE
Pages399-404
Number of pages6
ISBN (Electronic)978-1-4673-9300-3
DOIs
Publication statusPublished - 07 Jan 2016
Externally publishedYes
Event2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - New York, United States
Duration: 03 Nov 201505 Nov 2015

Conference

Conference2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015
CountryUnited States
CityNew York
Period03/11/201505/11/2015

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

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