Chaotic-Based and Biologically Inspired Cryptosystems for Secure Image Communication and Storage

View Sample PDF

Author(s): El-Sayed M. El-Alfy (King Fahd University of Petroleum and Minerals, Saudi Arabia)
Copyright: 2016
Pages: 25
Source title: Improving Information Security Practices through Computational Intelligence
Source Author(s)/Editor(s): Wasan Awad (Ahlia University, Bahrain), El Sayed M. El-Alfy (King Fahd University of Petroleum and Minerals, Saudi Arabia)and Yousif Al-Bastaki (University of Bahrain, Bahrain)
DOI: 10.4018/978-1-4666-9426-2.ch004

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / IT Security and Ethics

Purchase

View Chaotic-Based and Biologically Inspired Cryptosystems for Secure Image Communication and Storage on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

Chaotic-Based and Biologically Inspired Cryptosystems for Secure Image Communication and Storage

Purchase

Abstract

Related Content

IRMA Sponsors