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An upgrade on the key generation algorithm of the GGH-MKA lattice-based encryption scheme


Citation

Arif, Mandangan and Kamarulhaili, Hailiza and Asbullah, Muhammad Asyraf (2021) An upgrade on the key generation algorithm of the GGH-MKA lattice-based encryption scheme. Malaysian Journal of Mathematical Sciences, 15 (spec.). 25 - 37. ISSN 1823-8343; ESSN: 2289-750X

Abstract

This paper presents an upgrade on the key generation algorithm of a current variant of the Goldreich-Goldwasser-Halevi lattice-based encryption scheme, referred to as the GGH-MKA cryptosystem. The keys for this cryptosystem consisting of lattice bases where the private key is required to be a ‘good’ basis while the public key is required to be a ‘bad’ basis to ensure the cryptosystem works effectively. In the key generation algorithm of the GGH cryptosystem, the good and bad features of the lattice bases are measured by computing orthogonality-defect value. If the value is ‘close to 1’, the basis is considered as a good basis. On the contrary, the basis is considered as a bad basis if its orthogonality-defect value is ‘far from 1’. Clearly, the consideration on various subjective terms could potentially trigger technical error during the key generation processes. In this paper, we proposed new conditions on the private and public bases of the GGH-MKA cryptosystem. Instead of depending solely on the orthogonality-defect values, the proposed conditions could make the measurement of good and bad bases in the key generation algorithm of the GGH-MKA cryptosystem becomes clearer and deterministic.


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Additional Metadata

Item Type: Article
Divisions: Institute for Mathematical Research
Centre of Foundation Studies for Agricultural Science
Publisher: Universiti Putra Malaysia
Keywords: Closest-vector problem; Smallest-basis problem; Lattice; Good basis; Bad basis; GGH cryptosystem; Lattice-based cryptography
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 23 Mar 2023 02:50
Last Modified: 23 Mar 2023 02:50
URI: http://psasir.upm.edu.my/id/eprint/95938
Statistic Details: View Download Statistic

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