Data analysis for network cyber-security:
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London, UK
Imperial College Press
[2014]
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| Subjects: | |
| Item Description: | Print version record |
| Physical Description: | 1 online resource |
| ISBN: | 9781783263752 178326375X |
Staff View
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| 245 | 1 | 0 | |a Data analysis for network cyber-security |c Niall Adams & Nicholas Heard, editors |
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| 505 | 8 | |a 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 | |
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| contents | 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 |
| ctrlnum | (ZDB-4-ITC)ocn880357363 (OCoLC)880357363 (DE-599)BVBBV045350701 |
| dewey-full | 005.8 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.8 |
| dewey-search | 005.8 |
| dewey-sort | 15.8 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Data analysis for network cyber-security Niall Adams & Nicholas Heard, editors London, UK Imperial College Press [2014] 2014 1 online resource txt rdacontent c rdamedia cr rdacarrier Print version record 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 COMPUTERS / Internet / Security bisacsh COMPUTERS / Networking / Security bisacsh COMPUTERS / Security / General bisacsh Computer networks / Security measures fast Computer networks Security measures Congresses 1\p (DE-588)1071861417 Konferenzschrift gnd-content Adams, Niall M. 1968- edt Heard, Nicholas edt Erscheint auch als Druck-Ausgabe Data analysis for network cyber-security 1783263741 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Data analysis for network cyber-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 COMPUTERS / Internet / Security bisacsh COMPUTERS / Networking / Security bisacsh COMPUTERS / Security / General bisacsh Computer networks / Security measures fast Computer networks Security measures Congresses |
| subject_GND | (DE-588)1071861417 |
| title | Data analysis for network cyber-security |
| title_auth | Data analysis for network cyber-security |
| title_exact_search | Data analysis for network cyber-security |
| title_full | Data analysis for network cyber-security Niall Adams & Nicholas Heard, editors |
| title_fullStr | Data analysis for network cyber-security Niall Adams & Nicholas Heard, editors |
| title_full_unstemmed | Data analysis for network cyber-security Niall Adams & Nicholas Heard, editors |
| title_short | Data analysis for network cyber-security |
| title_sort | data analysis for network cyber security |
| topic | COMPUTERS / Internet / Security bisacsh COMPUTERS / Networking / Security bisacsh COMPUTERS / Security / General bisacsh Computer networks / Security measures fast Computer networks Security measures Congresses |
| topic_facet | COMPUTERS / Internet / Security COMPUTERS / Networking / Security COMPUTERS / Security / General Computer networks / Security measures Computer networks Security measures Congresses Konferenzschrift |
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