Titlebook: Data and Applications Security and Privacy XXIV; 24th Annual IFIP WG Sara Foresti,Sushil Jajodia Conference proceedings 2010 IFIP Internat

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Scalable and Efficient Reasoning for Enforcing Role-Based Access Controlaking critical decisions. Thus, there is a need for a scalable access control model that simplifies the management of security policies and handles the heterogeneity inherent in the information system. This paper proposes an ontology-based distributed solution to this problem, with the benefits of b

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Enforcing Request Integrity in Web Applications(RI) attacks, wherein an attacker forces an application into processing an unintended request sequence. Cross-site-request forgeries (CSRF) and workflow violations are two classes of RI attacks. Enforcing the intended request sequences is essential for ensuring the integrity of the application. We d

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Modelling Dynamic Trust with Property Based Attestation in Trusted Platformsstation, an extension of binary attestation enables more meaningful attestation by abstracting low level binary values to high level security properties or functions of platforms. We believe that despite having trusted processes for integrity measurement, binary and property based attestation may st

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An Access Control Model for Web Databases information, these systems are highly interesting to attackers and special care needs to be taken to prevent them from malicious accesses. In this paper, we propose (..), an extension of the NIST RBAC (Role-Based Access Control) standard with the notions of application, application profile and sub-

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How Fast is the Fourier Transform?tion may be specified. Our concern is with developing the formal foundations of our conceptual model. For both the specific access control models and privacy policies, which may be defined in terms of the meta-model, we adopt a combining approach: we combine access control concepts to form the meta-

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https://doi.org/10.1007/978-1-4613-9464-8ential risk to privacy. However, there is not much investigation on the privacy consequence of publishing decision trees. To understand this problem, we need to quantitatively measure privacy risk..Based on the well-established maximum entropy theory, we have developed a systematic method to quantif

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Statistical Theory and the Computerrvice provider has a pattern that corresponds to a genetic test. Error-resilient searching is achieved by representing the pattern as a finite automaton and evaluating it on the DNA sequence, where privacy of both the pattern and the DNA sequence must be preserved. Interactive solutions to this prob