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Mining abac rules from sparse logs

Web16 mrt. 2024 · For ABAC policy mining, such a log is accompanied by attributes of entities involved in the log entries. The goal of a policy mining algorithm is to extract ABAC policy rules from access logs that have high quality with respect to some quality metrics (e.g., policy size and correctness). Web4 apr. 2024 · Mining ABAC Rules from Sparse Logs @article{Jimnez2024MiningAR, title={Mining ABAC Rules from Sparse Logs}, author={Carlos Cotrini Jim{\'e}nez and …

[PDF] Mining ABAC Rules from Sparse Logs Semantic Scholar

WebRBAC [3], log data [4] and sparse log [5]. The previous literature has primarily focused on the detailed mechanics of generating ABAC policy rules from the provided input. Here we develop a more abstract and general characterization of this problem. To the best of our knowledge, this is the first such study of ABAC policy mining. The ... WebThe National Key R&D Program of China(2024YFB0803603);The National Natural Science Foundation of China(61702550) hs baumanagement gmbh salzburg https://spencerred.org

GitHub - MWSanders/AssociationAbacMiner: Uses …

WebThis paper proposes a novel framework for learning ABAC policies from data. The framework, referred to as Polisma, combines data mining, statistical, and machine learning techniques, capitalizing on potential context information obtained from external sources (e.g., LDAP directories) to enhance the learning process. Web6 mrt. 2024 · There have been a good number of works on ABAC policy mining, such as from Authorization [11, 15], RBAC , log data [9, 14], sparse log , etc. An evolutionary … WebCarlos Cotrini is an academic researcher from ETH Zurich. The author has contributed to research in topic(s): Role-based access control & Decidability. The author has an hindex of 5, co-authored 9 publication(s) receiving 76 citation(s). Previous affiliations of Carlos Cotrini include École Polytechnique Fédérale de Lausanne. h&s bbq menu

An Automatic Attribute Based Access Control Policy

Category:Mining least privilege attribute based access control policies

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Mining abac rules from sparse logs

スパースログからのABACルールのマイニング【JST・京大機械翻 …

Web文献「スパースログからのabacルールのマイニング【jst・京大機械翻訳】」の詳細情報です。j-global 科学技術総合リンクセンターは研究者、文献、特許などの情報をつなぐことで、異分野の知や意外な発見などを支援する新しいサービスです。またjst内外の良質なコンテンツへ案内いたします。 WebDifferent methods have been proposed to mine attribute-based access control (ABAC) rules from logs In practice, these logs are sparse in that they contain only a fraction of all …

Mining abac rules from sparse logs

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Web9 dec. 2024 · Using a large dataset of 4.7 million Amazon Web Service (AWS) audit log events, we demonstrate that our automated approach can effectively generate least … Webing RBAC [10], log data [11] and sparse log [2]. The pre-vious literature has primarily focused on the detailed me-chanics of generating ABAC policy rules from the provided input. Here we develop a more abstract and general char-acterization of this problem. To the best of our knowledge, this is the first such study of ABAC policy mining.

WebMining ABAC Rules from Sparse Logs @article{Jimnez2024MiningAR, title={Mining ABAC Rules from Sparse Logs}, author={Carlos Cotrini Jim{\'e}nez and Thilo Weghorn … WebRelationship-based access control (ReBAC) extends attribute-based access control (ABAC) to allow policies to be expressed in terms of chains of relationships between entities. ReBAC policy mining algorithms have potential to significantly reduce the cost of migration from legacy access control systems to ReBAC, by partially automating the development of a …

Web1 apr. 2024 · Different methods have been proposed to mine attribute-based access control (ABAC) rules from logs. In practice, these logs are sparse in that they contain only a … WebABAC policies consistent with subject behavior are found out from access log and attribute data by frequent pattern mining in the proposed method. The rich-semantic ABAC policy set is obtained by correctness and semantic quality analysis. The accuracy and the completeness of the method were verified using cross-validation technique.

Web11 dec. 2024 · In this section, we provide a formal definition of ABAC policy mining with minimal perturbation and introduce two measures: a measure of goodness and a measure of perturbation for an ABAC state. We consider the same ABAC policy language described in [ 26] and further considered in [ 13 ].

WebResearch and analysis on tags @ Stack Overflow. Contribute till lint0011/FYP_similartags development by creating an account on GitHub. filezen s eolWebMining ABAC rules from sparse logs. In Euro S&P. Carlos Cotrini, Luca Corinzia, Thilo Weghorn, and David Basin. 2024. The next 700 policy miners: A universal method for building policy miners. In CCS. ACM. S. Das, B. Mitra, V. Atluri, J. Vaidya, and S. Sural. 2024. Policy Engineering in RBAC and ABAC. In From Database to Cyber Security. … hsb brf djupadal kumlaWebAbstract . A log-based rich-semantic attribute-based access control (ABAC) policy mining method was proposed, to deal with fine-grained access control in large-scale information system, and to mine out readable, accurate and complete ABAC policy set, which is consistent with subject behavior profiles, so as to provide strong support for security … filezen s fzs-st82-a-sWeb19 mei 2024 · Mining ABAC rules from sparse logs. In Proceedings of the 2024 IEEE European Symposium on Security and Privacy. IEEE, 31–46. [21] Crampton Jason and Sellwood James. 2014. Path conditions and principal matching: A new approach to access control. In Proceedings of the 19th ACM Symposium on Access Control Models and … hsbc 1 utama opening hoursWebIn this paper, considering the context of Attribute Based Access Control (ABAC), we propose an approach that is capable of immediately materializing any update to the policy and ensuring that it is taken into account for any subsequent access requests. filezen sony.co.jpWebMining ABAC Rules from Sparse Logs @article{Jimnez2024MiningAR, title={Mining ABAC Rules from Sparse Logs}, author={Carlos Cotrini Jim{\'e}nez and Thilo … filezen saasWebIn this work, we propose a hybrid ABAC policy engineering approach combining elements from bottom-up and top-down approaches in a systematic framework. The results show that our approach enables reliable construction of machine-readable ABAC rules with a significant improvement rate of 77.5% over the bottom-up policy engineering approach. hsbc0500002 bank name