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Encryption of text file using a user controlled automatically-generated key
conference contribution
posted on 2019-11-27, 09:36 authored by Halima Shnishah, David MulvaneyTraditional symmetrical cryptographic algorithms
generally provide an adequate degree of immunity to attacks aimed at
revealing secret keys. A number of approaches exist for the
automated generation of secret keys, but, for high security
applications, some end users remain wary of approaches that are
controlled by third parties. Consequently, there remains interest in
certain high-security applications in being able to retain control over
the method used for the generation of keys. In this paper, keys for
both image encryption and decryption are obtained using the
evolutionary computing tool Eureqa, in its modelling of pseudorandom input data. The secret keys generated by this approach and
when applied to the encryption and decryption of gray-scale images
are validated in a range of statistical tests, namely histogram, chisquare, correlation of adjacent pixel pairs, correlation between
original and encrypted images, entropy and key sensitivity.
Experimental results obtained from methods show that the proposed
image encryption and decryption algorithms are secure and reliable,
with the potential to be adapted to high-security image
communication applications.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3)Pages
238 - 243Source
IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3)Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Publication date
2019-04-11ISBN
9781538670019Publisher version
Language
- en
Location
Northumbria Univ London Campus, London, ENGLANDEvent dates
16th January 2019 - 18th January 2019Depositor
Dr David Mulvaney . Deposit date: 26 November 2019Usage metrics
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