Data Analysis For Network Cyber-security

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Niall M Adams (Imperial College London, Uk) Nicholas A Heard (Imperial College London, Uk)

Data Analysis For Network Cyber-security

Niall M Adams (Imperial College London, Uk), Nicholas A Heard (Imperial College London, Uk)

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English

Imperial College Press
04 March 2014

Applied mathematics; Data capture & analysis; Computer security

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity.

Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis approaches are a natural candidate. However, such methods do not scale well to the demands of real problems, and the critical aspect of the timing of communications events is not accounted for in these approaches.

This book gathers papers from leading researchers to provide both background to the problems and a description of cutting-edge methodology. The contributors are from diverse institutions and areas of expertise and were brought together at a workshop held at the University of Bristol in March 2013 to address the issues of network cyber security. The workshop was supported by the Heilbronn Institute for Mathematical Research.

Edited by: Niall M Adams (Imperial College London Uk), Nicholas A Heard (Imperial College London, Uk)
Imprint: Imperial College Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm, Spine: 13mm
Weight: 440g
ISBN: 9781783263745
ISBN 10: 1783263741
Pages: 200
Publication Date: 04 March 2014
Audience: College/higher education , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Foreword (Geoff Robinson); Introduction (Niall Adams); Inference for Graphs and Networks (Benjamin P Olding and Patrick J Wolfe); Rapid Detection of Attacks by Quickest Changepoint Detection Methods (Alexander G Tartakovsky); Statistical Detection of Intruders Within Computer Networks Using Scan Statistics (Joshua Neil, Curtis Storlie, Curtis Hash and Alex Brugh.); Characterizing Dynamic Group Behavior in Social Networks for Cybernetics (Sumeet Dua and Pradeep Chowriappa); Several Approaches for Detecting Anomalies in Network Traffic Data (Celine Levy-Leduc); Monitoring a Device in a Communication Network (Nicholas A Heard and Melissa Turcotte).