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Identifying risk profiles and mitigating actions for business communication services

  • CNRS SAMOVAR UMR 5157

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Enterprises embracing Bring-Your-Own-Device encounter increased risk to data, applications and network resources. The dilemma is how to address threats with mitigating actions that do not unduly disrupt business, yet protect vulnerable assets. This paper proposes a model that identifies risk context and automatically selects appropriate actions. Risks are detected by conflicting observations, timeline discrepancies and risk-indicating behavior patterns. Detected risks are used to construct risk profiles that capture enterprise's risk mitigation policies via customizable prioritization, and business attributes are used to determine business profiles. It is proposed to utilize a novel multi-dimensional weighting to highlight relationships of risks with assets/actions. Best-fit profiles for both business and risk are selected via 'if-the-shoe-fits' process. Then, mitigating actions are determined by fusing the risk and business profiles, and precise actions are established via score 'tolerance bands'.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Network and Service Management, CNSM 2014
EditorsDanny Raz, Michele Nogueira, Edmundo Roberto Mauro Madeira, Brendan Jennings, Lisandro Zambenedetti Granville, Luciano Paschoal Gaspary
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages236-241
Number of pages6
ISBN (Electronic)9783901882661
DOIs
Publication statusPublished - 16 Jan 2014
Externally publishedYes
Event10th International Conference on Network and Service Management, CNSM 2014 - Rio de Janeiro, Brazil
Duration: 17 Nov 201421 Nov 2014

Publication series

NameProceedings of the 10th International Conference on Network and Service Management, CNSM 2014

Conference

Conference10th International Conference on Network and Service Management, CNSM 2014
Country/TerritoryBrazil
CityRio de Janeiro
Period17/11/1421/11/14

Keywords

  • AHP
  • BYOD
  • Fuzzification
  • MCDM
  • OLS
  • OWA
  • SAW
  • WPM
  • context profiling
  • eignvector

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