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Attribute-Based Encryption for Weighted Threshold Access Structures

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dc.contributor.author BUTNARU, Alexandra-Ina
dc.date.accessioned 2022-12-27T16:26:10Z
dc.date.available 2022-12-27T16:26:10Z
dc.date.issued 2022
dc.identifier.citation BUTNARU, Alexandra-Ina. Attribute-Based Encryption for Weighted Threshold Access Structures. In: Electronics, Communications and Computing (IC ECCO-2022): 12th intern. conf., 20-21 Oct. 2022, Chişinău, Republica Moldova: conf. proc., Chişinău, 2022, pp. 125-129. en_US
dc.identifier.uri https://doi.org/10.52326/ic-ecco.2022/SEC.03
dc.identifier.uri http://repository.utm.md/handle/5014/21842
dc.description.abstract Access control is a fundamental security component in a system, especially in rapidly developing domains such as the cloud or the Internet of Things. The nature of these domains renders formerly acclaimed access control techniques inefficient in environments that are distributed and need highly scalable solutions. Attribute-based access control offers a multitude of advantages, especially through its cryptographic implementation, attribute-based encryption. Weighted threshold access structures are structures that closely cover real-life scenarios and have high applicability in practice as access control policies. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject access control en_US
dc.subject attribute-based encryption en_US
dc.subject attribute-based access control en_US
dc.subject weighted threshold access structures en_US
dc.subject cloud en_US
dc.subject Internet of things en_US
dc.title Attribute-Based Encryption for Weighted Threshold Access Structures en_US
dc.type Article en_US


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  • 2022
    Proceedings of the 12th IC|ECCO; October 20-21, 2022

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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