Using modeling and simulation to evaluate enterprises' risk exposure to social networks

Anna Squicciarini; Sathya Dev Rajasekaran; Marco Casassa Mont

doi:10.1109/MC.2011.29

Using modeling and simulation to evaluate enterprises' risk exposure to social networks

Anna Squicciarini
, Sathya Dev Rajasekaran
, Marco Casassa Mont

College of Information Sciences and Technology

Research output: Contribution to specialist publication › Article

7 Scopus citations

Abstract

An analytic methodology involving modeling and simulation could help decision makers determine how their employees' use of social networks impacts their organization, identify how to mitigate potential risks, and evaluate the financial and organizational implications of doing so.

Original language	English (US)
Pages	66-73
Number of pages	8
Volume	44
No	1
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2011.29
State	Published - Jan 2011

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1109/MC.2011.29

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abstract = "An analytic methodology involving modeling and simulation could help decision makers determine how their employees' use of social networks impacts their organization, identify how to mitigate potential risks, and evaluate the financial and organizational implications of doing so.",

author = "Anna Squicciarini and Rajasekaran, \{Sathya Dev\} and Mont, \{Marco Casassa\}",

note = "Funding Information: US National Science Foundation grant NSF-CNS-0831360 partially funded Anna Squicciarini{\textquoteright}s work. Part of this work was sponsored and carried out in the context of the Cloud \& Security Lab (CSL) Security and Identity Analytics project at HP Labs, Bristol.",

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JO - Computer

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ER -

Using modeling and simulation to evaluate enterprises' risk exposure to social networks

Abstract

All Science Journal Classification (ASJC) codes

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