GEM: A distributed goal evaluation algorithm for trust management

Author:

TRIVELLATO DANIEL,ZANNONE NICOLA,ETALLE SANDRO

Abstract

AbstractTrust management is an approach to access control in distributed systems where access decisions are based on policy statements issued by multiple principals and stored in a distributed manner. In trust management, the policy statements of a principal can refer to other principals' statements; thus, the process of evaluating an access request (i.e., a goal) consists of finding a “chain” of policy statements that allows the access to the requested resource. Most existing goal evaluation algorithms for trust management either rely on a centralized evaluation strategy, which consists of collecting all the relevant policy statements in a single location (and therefore they do not guarantee the confidentiality of intensional policies), or do not detect the termination of the computation (i.e., when all the answers of a goal are computed). In this paper, we present GEM, a distributed goal evaluation algorithm for trust management systems that relies on function-free logic programming for the specification of policy statements. GEM detects termination in a completely distributed way without disclosing intensional policies, thereby preserving their confidentiality. We demonstrate that the algorithm terminates and is sound and complete with respect to the standard semantics for logic programs.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Semantic Attribute-Based Access Control: A review on current status and future perspectives;Journal of Systems Architecture;2022-08

3. Privacy-preserving policy evaluation in multi-party access control;Journal of Computer Security;2021-10-27

4. Survey on Access Control for Community-Centered Collaborative Systems;ACM Computing Surveys;2019-01-31

5. Assessment of recommendation trust for access control in open networks;Cluster Computing;2018-01-24

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