Highly Efficient and Revocable CP-ABE with Outsourcing Decryption for IoT

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Abdollahi Sina; Mohajeri Javad; Salmasizadeh Mahmoud

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY Year:2023 | Volume:15 | Issue:1 Page(s): 97-110

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Information Journal Paper

Title

Highly Efficient and Revocable CP-ABE with Outsourcing Decryption for IoT

Author(s)

Abdollahi Sina | Mohajeri Javad | Salmasizadeh Mahmoud | Issue Writer Certificate

Keywords

Attribute-Based Encryption

Internet of Things

Outsourced Decryption

Revocation

Constant Number of Pairings

Abstract

Ciphertext-policy Attribute-Based Encryption(CP-ABE) is considered a promising solution for secure data sharing in the cloud environment. Although very well expressiveness in ABE constructions can be achieved using a linear secret sharing scheme(LSSS), there is a significant drawback in such constructions. In the LSSS-based ABE constructions, the number of heavy pairing operations increases with an increase in the number of required attributes in the decryption. In this paper, we propose an LSSS-based CP-ABE scheme with a fixed number of pairings(four pairings) during the decryption process. In our scheme increasing the number of required attributes in the decryption does not affect the number of pairings. The simulation shows that our scheme has significant advantages in the encryption and the decryption processes compared to previous schemes. In addition, we use the outsourcing method in the decryption to get better performance on the user side. The main burden of decryption computations is done by the cloud without revealing any information about the plaintext. Furthermore, in our Revocation method, the users’ communication channels are not used during the Revocation process. All of these features make our scheme suitable for applications such as IoT. The proposed scheme is selectively CPA-secure in the standard model.

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