Revocable ciphertext-policy attribute-based encryption in data outsourcing systems from lattices

Yan, Xixi; Yang, Chaochao; Zhang, Qichao; Yu, Jinxia

doi:10.1504/ijes.2020.110655

Cited by 2 publications

(1 citation statement)

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“…The increasing amount of data makes the traditional security and encryption tools no longer as effective as before. Modern cryptosystems are mostly designed for the needs of text data encryption and are not well combined with the characteristics of big data, so it is difficult to meet the actual application needs [21,22]. The secure storage and data protection of big data are facing unprecedented pressure and challenges.…”

Section: Literature Reviewmentioning

confidence: 99%

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Sun¹,

Yan²,

Yang³

2022

Journal of Sensors

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Encrypting data based on the data attributes of robots is one of the effective methods to control access users in the data outsourcing environment. Therefore, a mathematical modeling method of robot data attribute encryption based on data redundancy elimination technology is proposed. The encryption algorithm structure is analyzed based on the Bloom filter. The Hamming distance is used to calculate the similarity of big data by the Bloom filter. Finally, a big data ellipse encryption algorithm is designed according to the calculation results. The results show that during the whole experiment, the approximate fluctuation range is 0.08%~0.14%, which is not only high but also has a large fluctuation range. In contrast, the probability of occurrence of redundant data is less than 0.05% under different byte rates of redundant data, which is far lower than the two traditional methods, indicating that the application performance of the proposed method is good.

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Section: Literature Reviewmentioning

confidence: 99%