Fast Parallel Molecular Algorithms for DNA-Based Computation: Solving the Elliptic Curve Discrete Logarithm Problem over GF(2n). (7th April 2008)

• Record Type: Journal Article
• Authors: Li, Kenli; Zou, Shuting; Xv, Jin
• Other Names: Howard Daniel Academic Editor.
• Is Part Of: Journal of biomedicine and biotechnology. Volume 2008(2008)
• Publication Date: 2008-04-07
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Medicine; Biology; Biotechnology; Médecine; Biologie; Biotechnologie; Biology; Biotechnology; Medicine; Biotechnology; Biomedicine; Electronic journals; Periodical; Periodicals; Electronic journals; 610
• DOI: 10.1155/2008/518093
• Languages: English
• ISSNs: 1110-7243

Abstract

Abstract : Elliptic curve cryptographic algorithms convert input data to unrecognizable encryption and the unrecognizable data back again into its original decrypted form. The security of this form of encryption hinges on the enormous difficulty that is required to solve the elliptic curve discrete logarithm problem (ECDLP), especially over G F ( 2 n ), n ∈ Z + . This paper describes an effective method to find solutions to the ECDLP by means of a molecular computer. We propose that this research accomplishment would represent a breakthrough for applied biological computation and this paper demonstrates that in principle this is possible. Three DNA-based algorithms: a parallel adder, a parallel multiplier, and a parallel inverse over G F ( 2 n ) are described. The biological operation time of all of these algorithms is polynomial with respect to n . Considering this analysis, cryptography using a public key might be less secure. In this respect, a principal contribution of this paper is to provide enhanced evidence of the potential of molecular computing to tackle such ambitious computations.