Earticle

초록

영어

In the face recognition system, the protection of the facial feature template has already become the most important part. In view of that the current protection methods cannot meet the security and the matching rate simultaneously, a hybrid encryption algorithm was proposed in this paper fusing chaotic encryption and RSA encryption to solve this problem. After the preprocessing to the ORL face database, the feature template was extracted by 2D2LDA and PCA in the non-transformation domain. Then we applied the scrambling encryption and RSA encryption to obtain the final security template. At last, a system with the nearest neighbor classifier and Euclidean distance was used for the matching verification. The experimental results showed that this hybrid encryption method was feasible, effective and easy transplantation with no matching rate reduction.

목차

Abstract
 1. Introduction
 2. Method
  2.1. 1st Encryption by Chaos
  2.2. 2nd Encryption by RSA
 3. Enrollment and Authentication
  3.1. Enrollment Steps
  3.2. Authentication Steps
 4. Experimental Data and Results
  4.1. The Results of 2D2LDA System
  4.2. The Results of PCA System
 5. Security Analysis
  5.1. Larger Key Space
  5.2. Analysis of 1204bit RSA Algorithm
  5.3. Data Leakage Analysis
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Liu Yunan [ School of Foreign Languages, Harbin University of Science and Technology, Harbin, 150080, China ]
• Zhao Fudong [ School of Automation, Harbin University of Science and Technology, Harbin, 150080, China ]
• Xu Yanli [ School of Foreign Languages, Northeast Forestry University, Harbin, 150040, China ]
• Cao Yu [ School of Automation, Harbin University of Science and Technology, Harbin, 150080, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605