LWE Encryption using LZW Compression

M.N.M. Prasad; Mohammed Ali Hussain; C.V. Sastry

LWE Encryption using LZW Compression

M.N.M. Prasad * §

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Mohammed Ali Hussain

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C.V. Sastry

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§ KLEF University

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Abstract

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.

References

18 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

M.N.M. Prasad, Mohammed Hussain, C.V. Sastry. 2014. "LWE Encryption using LZW Compression". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E6).

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GJCST Volume 14 Issue E6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

LWE LZW modular arithmetic number theory research unit (NTRU)ring of truncated polynomials SVP

Classification

GJCST-E Classification I.4.2

Submission ReceivedDecember 11, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

October 11, 2014

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: M.N.M. Prasad , Mohammed Ali Hussain, C.V. Sastry (PhD/Dr. count: 0)

View Count (all-time): 381

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Publish Date: 2014 01, Wed

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Total Views: 3.6K

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