A novel self-transforming image encryption algorithm using intrinsically mutating PRNG

Soorya Annadurai, R. Manoj, Roshan David Jathanna

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this research paper, a new approach to image encryption has been proposed. The technique involves using a seed to generate a random list of prime numbers, which is then used to generate subsequent lists recursively. In this manner, a random number generation is created by recursive seeding, rather than one direct seed. This final set of lists is used to encrypt each pixel of the image. Moreover, each pixel is encrypted with its counterpart pixel in the original image, to reduce the possibility of deducing the original image without knowledge of the key. Statistical analysis tests are used to justify the strength of the algorithm.

Original languageEnglish
Title of host publicationProceedings of 1st International Conference on Smart System, Innovations and Computing - SSIC 2017
PublisherSpringer Science and Business Media Deutschland GmbH
Pages203-214
Number of pages12
ISBN (Print)9789811058271
DOIs
Publication statusPublished - 01-01-2018
Externally publishedYes
Event1st International Conference on Smart System, Innovations and Computing, SSIC 2017 - Jaipur, India
Duration: 15-04-201716-04-2017

Publication series

NameSmart Innovation, Systems and Technologies
Volume79
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference1st International Conference on Smart System, Innovations and Computing, SSIC 2017
CountryIndia
CityJaipur
Period15-04-1716-04-17

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All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Annadurai, S., Manoj, R., & Jathanna, R. D. (2018). A novel self-transforming image encryption algorithm using intrinsically mutating PRNG. In Proceedings of 1st International Conference on Smart System, Innovations and Computing - SSIC 2017 (pp. 203-214). (Smart Innovation, Systems and Technologies; Vol. 79). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-10-5828-8_20