Jump to content United States-English
HP.com Home Products and Services Support and Drivers Solutions How to Buy
» Contact HP

HP Labs home

Technical reports

» 

HP Labs

» Research
» News and events
» Technical reports
» About HP Labs
» Careers @ HP Labs
» Worldwide sites
» Downloads
Content starts here

 
Click here for full text: PDF

On Identity Analytics: Setting the Context

Mont, Marco Casassa; Baldwin, Adrian; Shiu, Simon
HP Laboratories

HPL-2008-84

Keyword(s): Identity Analytics, Modelling, Simulation, Security Analytics, Economics, Trade-offs, Policies, Identity Management

Abstract: This paper aims at setting the context for "Identity Analytics" within enterprises and paving the path towards new R&D opportunities. In our vision, Identity Analytics is about explaining and predicting the impact of identity and identity management (along with other related aspects, such as users' behaviours) on key factors of relevance to decision makers (e.g. CIOs, CISOs), in complex enterprise scenarios - based on their initial assumptions and investment decisions. Ultimately the goal is to provide rigorous techniques to help decision makers gain a better understanding of the investment trade-offs within the identity space (e.g. investing in technologies vs. changing processes vs. investing in users' education, etc.). This means providing "decision support" and "what-if analysis" capabilities to decision makers enabling them to explore these investment trade-offs, formulate new policies and/or justify existing ones. Our vision of "Identity Analytics" is introduced and discussed, along with the methodology that we intend to adopt. There are many research opportunities and challenges in this space: we believe that a scientific approach is required, involving the usage of modelling and simulation techniques, coupled with the understanding of involved technologies and processes, human behaviours and economic aspects. To ground some of the concepts discussed in this paper, we provide an illustration of Identity Analytics focusing on emerging "web 2.0 enterprise collaborative data sharing", where unstructured information is created, stored and shared by people in collaborative contexts, within and across organisations. We demonstrate how trade-offs can be explored using the modelling approach hence allowing decision makers to explore the different impacts of policy choices.

22 Pages

External Posting Date: July 6, 2008 [Fulltext]. Approved for External Publication
Internal Posting Date: July 6, 2008 [Fulltext]

Back to Index

»Technical Reports

» 2009
» 2008
» 2007
» 2006
» 2005
» 2004
» 2003
» 2002
» 2001
» 2000
» 1990 - 1999

Heritage Technical Reports

» Compaq & DEC Technical Reports
» Tandem Technical Reports
Printable version
Privacy statement Using this site means you accept its terms Feedback to HP Labs
© 2009 Hewlett-Packard Development Company, L.P.