Volume 16, Issue 1 (2-2024)                   2024, 16(1): 20-27 | Back to browse issues page

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Khajouei-Nejad S, Haj Seyyed Javadi H, Jabbehdari S, Moattar S M H. Reducing The Computational Complexity of Fuzzy Identity-Based Encryption from Lattice. International Journal of Information and Communication Technology Research 2024; 16 (1) :20-27
URL: http://ijict.itrc.ac.ir/article-1-574-en.html
Reducing The Computational Complexity of Fuzzy Identity-Based Encryption from Lattice
Sedigheh Khajouei-Nejad1 , Hamid Haj Seyyed Javadi2 , Sam Jabbehdari 3, Seyed Mohammad Hossein Moattar4
1- North Tehran Branch, Islamic Azad University Tehran, Iran
2- Shahed University Tehran, Iran
3- North Tehran Branch, Islamic Azad University Tehran, Iran , S_jabbehdari@iau-tnb.ac.ir
4- Mashhad Branch, Islamic Azad University Mashhad, Iran
Abstract:   (265 Views)
—In order to provide access control on encrypted data, Attribute-based encryption (ABE) defines each user using a set of attributes. Fuzzy identity-based encryption (FIBE) is a variant of ABE that allows for a threshold access structure for users. To address the potential threat posed by future quantum computers, this paper presents a postquantum fuzzy IBE scheme based on lattices. However, current lattice-based ABE schemes face challenges related to computational complexity and the length of ciphertext and keys. This paper aims to improve the performance of an existing fuzzy IBE scheme by reducing key length and computational complexity during the encryption phase. While negative attributes are not utilized in our scheme, we prove its security under the learning with error (LWE) hard problem assumption in the selective security model. These improvements have significant implications for the field of ABE. 
Keywords: Attribute-Based Encryption (ABE), Fuzzy Identity-Based Encryption (FIBE), policy, access structure, lattice, Learning with Errors (LWE)
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Type of Study: Research | Subject: Network
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