Structural Data De-Anonymization with Contributory Broadcast Encryption

Vaishnavi, R and Kumar, Narayanan and Swarajpaul, C Structural Data De-Anonymization with Contributory Broadcast Encryption. Journal of Advanced Research in Dynamical and Control Systems. ISSN 1943-023X

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Abstract

Customary impart encryption (BE) preparations allow a sender to safely bring to any subset of humans yet, require a trusted assembling to disperse disentangling keys. Total key comprehension (GKA) traditions interact a get-together of human beings to mastermind a monotonous encryption key by technique for open frameworks so that in reality the social event people can unscramble the ciphertexts combined under the ordinary encryption key, yet a sender cannot ban a selected element from unscrambling the ciphertexts. In this paper, we partner those two mind with a blend primitive insinuated as contributory convey encryption (ConBE). In this new primitive, a social occasion of human beings mastermind a not unusual open encryption key whilst every element holds an unraveling key. A sender seeing people whilst all is said in completed social occasion encryption key can restrict the interpreting to a subset of humans from his preference. Taking after this display, we advocate a ConBE plot with quick ciphertexts. The arrangement is ended up being absolutely interest secure underneath the selection n-Bilinear Diffie-Hellman Exponentiation (BDHE) assumption inside the general version. Of self-governing hobby, we present any other BE plan that is aggregatable. The aggregatability assets is had all the earmarks of being beneficial to assemble impelled traditions.

Item Type: Article
Subjects: Computer Science Engineering > Computer Network
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 17 Dec 2025 06:52
Last Modified: 17 Dec 2025 06:52
URI: https://ir.vistas.ac.in/id/eprint/11599

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