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Computationally Efficient Fine-Grain Cube CP-ABE Scheme with Partially Hidden Access Structure

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Big Data and Security (ICBDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1210))

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Abstract

In ciphertext policy attribute based encryption (CP-ABE), the private key is associated with the number of attributes and the data is encrypted with access policy. Most existing CP-ABE schemes suffer from the issue of having long ciphertext size. The ciphertext depends on the number of attributes in the access policy. Also, Most CP-ABE does not consider the recipients’ anonymity, the encryptor-specified access structure is not hidden in the ciphertexts. Zhou et al. [1] proposed a construction of privacy preserving CP-ABE with constant ciphertext. However, [1] does not consider the importance of the attributes. On the other hand, existing weighted CP-ABE [2] consider the importance of the attributes but does not protect the recipients’ anonymity and the efficiency, it requires increasing the ciphertext size with increasing number of attributes.

In this paper, we provide an affirmative answer to the above issue; we proposed a new construction of CP-ABE named as Computationally efficient Fine-Grain Cube CP-ABE with Partially Hidden Access Structure(denoted as Cube CP-ABE). CUBE CP-ABE reduces the ciphertext to constant size irrespective of the number of attribute in the access policy. Second, it protects the recipients’’ privacy. Third, it applies the idea of the weighted value. Forth, it is more granular than [2]. As far as we know, CUBE CP-ABE is the first construction with such properties. Our scheme is CPA-secure under Bilinear Diffie Hellman Exponent Assumption.

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Authors and Affiliations

  1. King Saud University, Riyadh, Saudi Arabia

    Miada Murad, Yuan Tian & Mznah A. Rodhaan

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  1. Miada Murad
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  2. Yuan Tian
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  3. Mznah A. Rodhaan
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Correspondence to Mznah A. Rodhaan .

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Editors and Affiliations

  1. Nanjing Institute of Technology, Nanjing, China

    Yuan Tian

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Tinghuai Ma

  3. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

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Murad, M., Tian, Y., Rodhaan, M.A. (2020). Computationally Efficient Fine-Grain Cube CP-ABE Scheme with Partially Hidden Access Structure. In: Tian, Y., Ma, T., Khan, M. (eds) Big Data and Security. ICBDS 2019. Communications in Computer and Information Science, vol 1210. Springer, Singapore. https://doi.org/10.1007/978-981-15-7530-3_10

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  • DOI: https://doi.org/10.1007/978-981-15-7530-3_10

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