Collective Intelligence for Risk Reduction: Theory, Implementation and Practical Application to Security Incident Response

M. Sadok, S. Benabdallah and H. Lesca
Additional contact information
H. Lesca: CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: The Collective Intelligence (CI) process is an adaptive process that helps companies to reduce business risk and cope with unstable and uncertain external events. In this paper a CI-methodology is proposed. It is based on an extended causal links approach that provides a theoretical framework to the representation, the manipulation, and the refinement of links to reconcile different views, to construct an intelligible vision, and to support the decision making in strategic management. A particular application of CI-methodology for risk reduction of digital aggressions in enterprise networks is presented. We also show the potentiality of using Internet technologies which can provide an efficient support to CI process and tools to competitive intelligence.

Keywords: Collective Intelligence; business intelligence; attacks security; incident response team (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

Published in 2006

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00135557

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().