000			01812nam a2200217Ia 4500
999			_c36915 _d36915
003			OSt
005			20210405101755.0
008			160316s2014 xxu||||| |||| 00| 0 eng d
020			_a9781783263745
040			_cn
082			_a343.099450 _bADA
100			_aAdams Niall
245			_aData analysis for network cyber-security
260			_aLondon _bImperial College Press _c2014
300			_a189p _cv
365			_b Rs. 5,895
505			_aSummary: 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.
650			_a1. Computer Networks - Security Measures - Congresses
700			_aHeard Nicholas _a
942			_2ddc _cBK