Chaotic-based and biologically inspired cryptosystems for secure image communication and storage

El Sayed M. El-Alfy*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Protecting confidentiality of sensitive data is growing in importance in many personal, commercial, governmental, medical and military applications. Data encryption remains the most prevalent mechanism for this goal in cybersecurity to store and communicate data in unintelligible form. However, images are known to have intrinsic characteristics different from text, which limit the applicability of conventional cryptographic algorithms. This chapter provides a review of the work related to image cryptosystems based on chaos theory and biologically-inspired algorithms. Then, a case study is presented using ideas from genetic crossover and mutation to confuse and diffuse images to generate secure cipher images with very low correlation between pixels.

Original languageEnglish
Title of host publicationImproving Information Security Practices through Computational Intelligence
PublisherIGI Global
Pages74-99
Number of pages26
ISBN (Electronic)9781466694279
ISBN (Print)1466694262, 9781466694262
DOIs
StatePublished - 26 Aug 2015

Bibliographical note

Publisher Copyright:
© 2016, IGI Global. All rights reserved.

ASJC Scopus subject areas

  • General Computer Science

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