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Data Science for Cyber-Security
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Data Science for Cyber-Security Hardback - 2018

by Nicholas A. Heard (Editor); Niall M. Adams (Editor); Patrick Rubin-Delanchy (Editor)

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From the publisher

Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.

The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.

This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.

Details

  • Title Data Science for Cyber-Security
  • Author Nicholas A. Heard (Editor); Niall M. Adams (Editor); Patrick Rubin-Delanchy (Editor)
  • Binding Hardback
  • Pages 304
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Europe Ltd
  • Publication date 2018-10-06
  • Features Bibliography, Index
  • ISBN 9781786345639 / 1786345633
  • Weight 1.27 lbs (0.58 kg)
  • Dimensions 9 x 6 x 0.75 in (22.86 x 15.24 x 1.91 cm)
  • Category Computers - Computer Security
  • Library of Congress subjects Internet - Security measures - Data, Data protection - Statistical methods
  • Library of Congress Catalogue Number 2018021228
  • Dewey Decimal Code 005.8
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DATA SCIENCE FOR CYBER-SECURITY

DATA SCIENCE FOR CYBER-SECURITY

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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader da
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