Bibliographic Details
| Title: |
Encryption by Augmenting GGH with LWE. |
| Authors: |
Kameswari, P. Anuradha1 dr.pakameswari@andhrauniversity.edu.in, Madhubala, N.2 madhunagabathula@gmail.com |
| Source: |
IAENG International Journal of Applied Mathematics. Feb2026, Vol. 56 Issue 2, p615-628. 14p. |
| Subjects: |
Cryptography, Cryptosystems, Data encryption, Information technology security |
| Abstract: |
Lattice-based cryptography constitutes a prominent class of post-quantum cryptosystems, engineered to withstand assaults from quantum computers while delivering robust security and operational efficiency. A seminal construction in this domain is the Goldreich-Goldwasser-Halevi (GGH) public key cryptosystem, which bases its security on the computational intractability of the Closest Vector Problem (CVP). However, the GGH scheme is vulnerable to cryptanalysis, particularly in lower dimensions, due to the efficacy of the LLL algorithm and its susceptibility to attacks leveraging small error vectors. This paper proposes a hybrid model that augments the GGH framework with the Learning with Errors (LWE) problem and evaluates its performance. This fortified integration demonstrably resists known attacks against GGH, preserving security even in lower dimensions and with minimal error vectors. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
