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By M. Zubair Rafique, Muhammad Khurram Khan, Khaled Alghatbar, Muddassar Farooq (auth.), James J. Park, Javier Lopez, Sang-Soo Yeo, Taeshik Shon, David Taniar (eds.)

This publication constitutes the refereed court cases of the eighth FIRA overseas convention on safe and belief Computing, information administration, and purposes, STA 2011, held in Loutraki, Greece, in June 2011. STA 2011 is the 1st convention after the merger of the winning SSDU, UbiSec, and belief symposium sequence formerly held from 2006 until eventually 2010 in quite a few destinations. The 29 revised complete papers provided have been conscientiously reviewed and chosen from quite a few submissions. The papers tackle a variety of theories and sensible functions of safe and belief computing and information administration in destiny environments.

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Read or Download Secure and Trust Computing, Data Management and Applications: 8th FIRA International Conference, STA 2011, Loutraki, Greece, June 28-30, 2011. Proceedings PDF

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Extra resources for Secure and Trust Computing, Data Management and Applications: 8th FIRA International Conference, STA 2011, Loutraki, Greece, June 28-30, 2011. Proceedings

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19–40. Springer, Heidelberg (2006) 16. : Language models for detection of unknown attacks in network traffic. Z. Rafique et al. 17. : Anagram: A content anomaly detector resistant to mimicry attack. , Krügel, C. ) RAID 2006. LNCS, vol. 4219, pp. 226–248. Springer, Heidelberg (2006) 18. : Elements of information theory. , Chichester (2006) 19. : ROC graphs: Notes and practical considerations for researchers. Machine Learning 31 (2004) 20. : Bro: A system for detecting network intruders in real-time.

It consists itself of the following two subclasses: Timestamps, which usually contain the time and date at which the data was created, based on for example, the ISO 8601 standard, and Nonces, which are random numbers, which must be fresh each time a new copy of the data is produced. A nonce, sometime also know as a salt, ensures that the new copy is distinguished from its previous ones, thus preventing replay attacks. Contextual Information: This subclass represents information about the permissible contexts in which the data may be accessed.

Springer-Verlag Berlin Heidelberg 2011 22 B. Aziz, S. Crompton, and M. Wilson The main contribution of this paper is to introduce a metadata model that can be used to describe some of the most common data security attributes used by policy decision points of various security models. The metadata model itself does not describe what the data are, but rather what the data have, in terms of their security metadata values. Hence, it is a metadata model of data-centric security. 2 Related Work Despite the fact that there exist a few security ontologies in the literature, as far as we know, none has yet touched on the topic of data-centric security.

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