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Data science for cyber-security

Heard, Nicholas.

Data science for cyber-security

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science for cyber-securityedited by Nick Heard ... [et al.]
other author:	Heard, Nicholas.
Published:	London :World Scientific Publishing Europe,c2019.
Description:	1 online resource (304 p.) :ill.
Subject:	InternetCongresses.Security measures
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/q0167#t=toc
ISBN:	9781786345646$q(electronic bk.)

Data science for cyber-security
Data science for cyber-security[electronic resource] /edited by Nick Heard ... [et al.] - 1st ed. - London :World Scientific Publishing Europe,c2019. - 1 online resource (304 p.) :ill. - Security science and technology,v. 32059-1063 ;. - Security science and technology ;v. 1..

Includes bibliographical references and index.

"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."--

Electronic reproduction.
Singapore :
World Scientific,
[2018]

Mode of access: World Wide Web.

ISBN: 9781786345646$q(electronic bk.)Subjects--Topical Terms:

840222
Internet
--Security measures--Congresses.

LC Class. No.: TK5105.59 / .D383 2018

Dewey Class. No.: 005.8

Data science for cyber-security
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245 0 0 $a Data science for cyber-security $h [electronic resource] / $c edited by Nick Heard ... [et al.]
250 $a 1st ed.
260 $a London : $b World Scientific Publishing Europe, $c c2019.
300 $a 1 online resource (304 p.) : $b ill.
490 1 $a Security science and technology, $x 2059-1063 ; $v v. 3
504 $a Includes bibliographical references and index.
520 $a "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."-- $c Publisher's website.
533 $a Electronic reproduction. $b Singapore : $c World Scientific, $d [2018]
538 $a Mode of access: World Wide Web.
588 $a Description based on online resource; title from WSP website (viewed September 27, 2018)
650 0 $a Internet $x Security measures $x Data processing $v Congresses. $3 840222
650 0 $a Data protection $x Statistical methods $v Congresses. $3 840223
650 0 $a Electronic books. $3 242495
700 1 $a Heard, Nicholas. $3 709845
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856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/q0167#t=toc