By Anupam Datta, Jeremiah Blocki, Nicolas Christin, Henry DeYoung, Deepak Garg, Limin Jia (auth.), Sushil Jajodia, Chandan Mazumdar (eds.)
This e-book constitutes the refereed complaints of the seventh overseas convention on info platforms defense, ICISS 2011, held in Kolkata, India, in December 2011.
The 20 revised complete papers offered including four brief papers and four invited papers have been rigorously reviewed and chosen from one zero five submissions. The papers are prepared in topical sections on entry keep an eye on and authorization, malwares and anomaly detection, crypto and steganographic platforms, verification and research, instant and cellular platforms safeguard, internet and community security.
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Additional resources for Information Systems Security: 7th International Conference, ICISS 2011, Kolkata, India, December 15-19, 2011, Procedings
Sample text
E. change the risk associated with accesses dynamically. We believe that the above mechanism mitigates the problem of rigid access control in settings such as IT security risk management, but is not directly applicable for privacy protection in settings such as hospitals where denying access based on privacy risks could have negative consequences on the quality of care. Our approach to the problem is fundamentally different: we use a form of risk-based auditing instead of risk-based access control.
However, using connectives of linear logic, the mechanism admits policies that rely on use-once permissions. Iterative Enforcement. The idea of iteratively rewriting the policy over evolving logs has been considered previously [44, 47], but only for propositional logic where the absence of quantifiers simplifies the problem considerably. Bauer et al. [5] use a different approach for iterative enforcement: they convert an LTL formula with limited first-order quantification to a B¨ uchi automaton and check whether the automaton accepts the input log.
Secure computation provides an attractive alternative. It enables data owners to keep their data private, while allowing it to be used in computations. Secure two-party computation allows two parties to cooperatively compute the output of a function, f (a, b), without revealing any information about their private inputs, a and b respectively (other than what can be inferred from the function output). The idea of secure function evaluation was introduced by Andrew Yao in the 1980s [52, 53], but it has only recently become realistic to imagine large-scale, important problems being solved by practical secure computations.