DocumentCode :
3054049
Title :
Accelerating the Deployment of Security Service Infrastructure with Collective Intelligence and Analytics
Author :
Vukovic, Maja ; Giblin, Christopher ; Rajagopal, Sriram K.
Author_Institution :
T.J. Watson Res. Center, IBM, Hawthorne, NY, USA
fYear :
2012
fDate :
24-29 June 2012
Firstpage :
625
Lastpage :
632
Abstract :
With the increasing complexity of IT outsourcing environments thousands of servers and their configurations are increasingly managed by globally distributed teams. This requires a flexible identity access management process in place to efficiently provision necessary access rights for a given system, only if users need it, when they need it and for only as long as they need it. In this paper we present a novel approach to discovering required role permissions by integrating system data and enterprise crowd sourcing (a process where a group of experts solve problems through collaboration). By mining server registries, compliance repositories (such as user revalidation records), we derive a set of servers and the respective access rights for each team member. This data is then validated and updated by one or more team members using the principles of crowd sourcing. We show that this approach improves the role discovery process and accelerates the deployment of the security service infrastructure.
Keywords :
authorisation; data mining; outsourcing; IT outsourcing environments; access rights; collective intelligence; compliance repositories; data mining; enterprise crowd sourcing; flexible identity access management process; globally distributed teams; role permissions; security service infrastructure; server registries; system data; user revalidation records; Access control; Data mining; Electronic mail; Interviews; Permission; Servers; automation; component; delivery; role engineering; service; social networking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2012 IEEE Ninth International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-3049-7
Type :
conf
DOI :
10.1109/SCC.2012.53
Filename :
6274199
Link To Document :
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