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 language | English |
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Title of host publication | Improving Information Security Practices through Computational Intelligence |
Publisher | IGI Global |
Pages | 74-99 |
Number of pages | 26 |
ISBN (Electronic) | 9781466694279 |
ISBN (Print) | 1466694262, 9781466694262 |
DOIs | |
State | Published - 26 Aug 2015 |
Bibliographical note
Publisher Copyright:© 2016, IGI Global. All rights reserved.
ASJC Scopus subject areas
- General Computer Science