Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/33972
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dc.contributor.authorMollakuqe, Elissaen_US
dc.contributor.authorDag, Hasanen_US
dc.contributor.authorDimitrova, Vesnaen_US
dc.date.accessioned2025-08-25T12:27:37Z-
dc.date.available2025-08-25T12:27:37Z-
dc.date.issued2024-10-24-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/33972-
dc.description.abstractThis research paper explores the CONIKS key management system’s security and efficiency, a system designed to ensure transparency and privacy in cryptographic operations. We conducted a comprehensive analysis of the underlying mathematical principles, focusing on cryptographic hash functions and digital signature schemes, and their implementation in the CONIKS model. Through the use of Merkle trees, we verified the integrity of the system, while zero-knowledge proofs were utilized to ensure the confidentiality of key bindings. We conducted experimental evaluations to measure the performance of cryptographic operations like key generation, signing, and verification with varying key sizes and compared the results against theoretical expectations. Our findings demonstrate that the system performs as predicted by cryptographic theory, with only minor deviations in computational time complexities. The analysis also reveals significant trade-offs between security and efficiency, particularly when larger key sizes are used. These results confirm that the CONIKS system offers a robust framework for secure and efficient key management, highlighting its potential for real-world applications in secure communication systems.en_US
dc.publisherMDPIen_US
dc.relation.ispartofApplied Sciencesen_US
dc.subjectMerkle tree; CONIKS; key; transparency; security and hashen_US
dc.titleMathematical Foundations and Implementation of CONIKS Key Transparencyen_US
dc.typeJournal Articleen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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