Northampton Electronic Collection of Theses and Research

Improving incident detection through capturing new behaviour analytics

Hills, M. (2018) Improving incident detection through capturing new behaviour analytics. Invited Presentation presented to: The European Information Security Summit 2018 (TEISS), ILEC Conference Centre, London, 20-21 February 2018.

10201:21523
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Improving incident detection through capturing�new behaviour analytics
Mils-European Information Security Summit-2018-NECTAR.pdf - Published Version
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Information
Abstract:
• Using technology to protect ‘boxes from brains’ (and vice versa) through advanced communications • Moving from legacy detection techniques to full-spectrum behaviour analytics across the enterprise • Integrating a suite of sensors and analysis to build a corporate immune system of automatic actions
Uncontrolled Keywords:
Cyber security, immunity, immune system, socio-technical security, analytics, behaviour
Subjects:
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > HV6001 Criminology > HV6251 Crimes and offences > HV6773 Computer crime. Hacking
H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > HV7431 Prevention of crime, methods, etc.
Creators:
Hills, M.
Faculties, Divisions and Institutes:
University Faculties, Divisions and Research Centres - OLD > Faculty of Business & Law > Business
University Faculties, Divisions and Research Centres - OLD > Research Centre > Institute for Logistics, Infrastructure, Supply, Travel and Transport
Research Institutes > Institute of Logistics, Infrastructure, Supply & Transport
Faculties > Faculty of Business & Law > International Strategy & Business
Date:
20 February 2018
Date Type:
Publication
Event Title:
The European Information Security Summit 2018 (TEISS)
Event Dates:
20-21 February 2018
Event Location:
ILEC Conference Centre, London
Event Type:
Conference
Language:
English
Status:
Published / Disseminated
Refereed:
No
Related URLs:
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