Earticle

초록

영어

Advancement in digital technologies has resulted in increased data transfer over internet in recent years. As a result, security of images/data is one of the biggest concern of many researchers. Therefore several cryptographic schemes have been proposed for image/data encryption. An efficient cryptographic scheme is one that have high brute force search time, low execution time complexity and should be able to provide good security. In this paper, several ciphers (traditional as well as modern) for images are compared based on various parameters such as: Time complexity, Peak Signal to Noise Ratio (PSNR), Number of Pixels Change Rate (NPCR), Unified Average Changing Intensity (UACI) and Entropy. In addition, the paper also shows the shortcomings of traditional ciphers that were used for text and how modern ciphers overcome this limitations. The analysis of simulation result shows that chaotic encryption schemes are most efficient and better than others.

목차

Abstract
 1. Introduction
 2. Techniques Used for Comparison
  2.1. Data Encryption Standard (DES)
  2.2 3DES (Triple DES) Cryptography
  2.3 AES (Advanced Encryption Standard) Cryptography
  2.4.RC4 Stream Cipher
  2.5. IDEA Cryptography
  2.6. Visual Cryptography
  2.7. Hierarchical Cryptography
  2.8. Elliptic Curve Cryptography
  2.9. Vigenère Cryptography
  2.10. Chaotic Encryption Technique
 3. Simulation Setup Parameters
 4. Performance Metrics
  4.1. Visual Assessment
  4.2. Key-Space Analysis
  4.3. Statistical Analysis
  4.4. Histogram Analysis
  4.5. Correlation Analysis
  4.6. Differential analysis
  4.7. Key Sensitivity
  4.8. Pixel/Plain image sensitivity
  4.9. Information Entropy Analysis
  4.10 Peak Signal to Noise Ratio (PSNR) analysis
  4.11 Computational Speed Analysis
 5. Results
  5.1. Visual Assessment
  5.2. Key Space Analysis
  5.3. Statistical Analysis
  5.4. Sensitivity Analysis
  5.5. Entropy Analysis
  5.6. PSNR Analysis
  5.7. Computational Time Analysis
 6. Overall Conclusion
 References

키워드

저자

• Yamini Jain [ YMCA University of Science and Technology, Faridabad ]
• Ritesh Bansal [ YMCA University of Science and Technology, Faridabad ]
• Gaurav Sharma [ YMCA University of Science and Technology, Faridabad ]
• Bhuvnesh Kumar [ YMCA University of Science and Technology, Faridabad ]
• Shailender Gupta [ YMCA University of Science and Technology, Faridabad ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605