Earticle

초록

영어

As the rate of visual information interchange on the Internet increases, image encryption has become a key method to secure image information. Here, an efficient image encryption technique was investigated. It employed Genetic Algorithm (GA) and Secure Force Algorithm (SF), along with using chaotic maps' transpositions on bit-level to remove the deep correlations between pixels. This study examined the efficiency of the technique with respect to security analysis, using entropy, histogram, correlation, NPCR, UACI, and sensitivity tests. The obtained results were outstanding, the average entropy was 7.999 (theoretical value is 8). Besides that, the coefficient correlation was almost zero which means that plain and ciphered images have no relevance to each other. Ciphered image's histograms were fairly uniformed, confirming that ciphered images have no statistical resemblance to original images and making no suggestions about how to implement statistical attacks. Because the proposed cryptosystem is more stable in the face of prevalent attacks, it can be used for secure applications and secure communication.

목차

Abstract
1. Introduction
2. Lecturer Review
3. Proposed Method
3.1. Encryption algorithm (shown in Figures 1&2)
3.2. Decryption algorithm
4. Experimental Results
4.1. Statistical Analysis
4.2. Differential attacks
4.3. Key sensitivity analysis
5. Conclusion
6. References

키워드

저자

• H. ABUGHALI [ Suleyman Demirel University, Isparta, Turkey ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  IJICTDC [International Journal of Information Communication Technology and Digital Convergence]

• 간기

  반년간

• pISSN

  2466-0094

• 수록기간

  2016~2026

• 십진분류

  KDC 300 DDC 303