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  1. Proceedings of the 2012 ACM Workshop on Cloud computing security workshop (CCSW '12)
  2. Managing trust and secrecy in identity management clouds
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Detecting co-residency with active traffic analysis techniques
Unity: secure and durable personal cloud storage
LoSt: location based storage
CloudFilter: practical control of sensitive data propagation to the cloud
Fast dynamic extracted honeypots in cloud computing
Exploiting split browsers for efficiently protecting user data
Efficient query integrity for outsourced dynamic databases
Benchmarking cloud security level agreements using quantitative policy trees
Are AES x86 cache timing attacks still feasible?
Babel: a secure computer is a polyglot
Towards an interpreter for efficient encrypted computation
Managing trust and secrecy in identity management clouds
Towards a richer model of cloud app markets
What if we got a do-over?
Revisiting DNS and WHOIS in the cloud era
Practical applications of homomorphic encryption

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Managing trust and secrecy in identity management clouds

Content Provider ACM Digital Library
Author Kumar, Apurva
Abstract User management services were one of the first to be offloaded to third party cloud vendors. Today, a large number of service providers rely on trusted identity providers for managing users and their resources. At the core of these interactions involving multiple providers are a set of web-based workflows that have emerged as de-facto standards. In this paper, we propose a framework especially addressing needs of analyzing security in such web protocols. To analyze trust between collaborating service providers on the web, we extend the well-known BAN logic. We study secrecy properties to examine security of user identity management across multiple domains, using a SAT based model-checking approach. The result is a hybrid approach that inherits simplicity and intuitive appeal of belief logics without being affected by soundness problems associated with these logics. We illustrate the method through analysis of a premier web identity management protocol where we use our method to automatically discover a new attack trace.
Starting Page 113
Ending Page 124
Page Count 12
File Format PDF
ISBN 9781450316651
DOI 10.1145/2381913.2381933
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-10-19
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Security protocols Belief logic Automated security analysis
Content Type Text
Resource Type Article
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