000			nam a22 7a 4500
999			_c29494 _d29494
008			190425b xxu||||| |||| 00| 0 eng d
020			_a9781786345639 _c(hbk)
082			_a005.8 _bHEA
100			_aHeard, Nick
245			_aData science for cyber-security
260			_aNew Jersey : _bWorld Scientific, _c2018.
300			_ax, 294 p. : _bill. ; _c24 cm.
365			_aUSD _b118.00 _d00
504			_aIncludes bibliographical references and index.
520			_aCyber-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
650			_aData protection
650			_aInternet
650			_aSecurity measures
650			_aData processing
650			_aStatistical methods
710			_aRubin-Delanchy, Patrick
710			_aAdams,Niall
710			_aTurcotte, Melissa
942			_2ddc _cBK