Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Applied mathematics, Statistics, Computer Sciences, Electrical and electronic engineering, Communication engineering and systems, telecommunications, Computer hardware and architecture

Publication Details

ISSC 2016, Ulster University, Derry, June 21--22

Abstract

Cloud computing and poor security issues have quadrupled over the last six years and with the alleged presence of backdoors in common encryption ciphers, has created a need for personalising the encryption process by the client. In 2007, two Microsoft employees gave a presentation ``On the Possibility of a backdoor in the NIST SP800-90 Dual Elliptic Curve Pseudo Random Number Generators'' and was linked in 2013 by the New York Times with notes leaked by Edward Snowden. This confirmed backdoors were placed, allegedly, in a number of encryption systems by the National Security Agency, which if true creates an urgent need for personalising the encryption process by generating locally unbreakable one-time pad ciphers. Hybrid random binary sequences from chaotic oscillators initialised by natural noise, were exported to an online Javascript application which applies a von Neumann deskewing algorithm to improve the cryptographic strength of the encryptor. The application also provides initial statistical p-test for randomness testing. Encoding the \textit{Lenna} image by XORing it with the new cipher provided another test to observe if patterns could be observed in the encoded image. Finally, the cipher was subjected to the NIST suite of statistical tests. All designs were simulated using Orcad PSpice $^{\copyright}$ V16.5

DOI

https://doi.org/10.21427/D7081B

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