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ENCRYPTION of data has become essential, for sending confidential information from one system to another system, especially in banking sector. NTRU labs have done pioneering work using a ring of truncated polynomials which was based on the impossibility (with proper choice of parameters) of finding the polynomial with knowledge of its inverse in modular arithmetic. Recently, Learning With Errors (LWE) has been studied extensively and its hardness can be linked to the near impossibility of finding the Shortest Vector on integer lattices. In this paper we have shown that a preprocessing of input before applying the LWE algorithm greatly reduces the time of encryption and decryption.
M.N.M. Prasad. 2014. \u201cLWE Encryption using LZW Compression\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E6): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 103
Country: India
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: M.N.M. Prasad , Mohammed Ali Hussain, C.V. Sastry (PhD/Dr. count: 0)
View Count (all-time): 225
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Publish Date: 2014 10, Sat
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ENCRYPTION of data has become essential, for sending confidential information from one system to another system, especially in banking sector. NTRU labs have done pioneering work using a ring of truncated polynomials which was based on the impossibility (with proper choice of parameters) of finding the polynomial with knowledge of its inverse in modular arithmetic. Recently, Learning With Errors (LWE) has been studied extensively and its hardness can be linked to the near impossibility of finding the Shortest Vector on integer lattices. In this paper we have shown that a preprocessing of input before applying the LWE algorithm greatly reduces the time of encryption and decryption.
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