Earticle

초록

영어

Perceptual encryption (PE) is becoming popular for protecting image data as they are computationally inexpensive and retain certain image properties that are necessary for compression. PE methods not only provide security during transmission of image data but can also enable privacy-preserving computations on them. However, the presence of color information in the cipher image makes the existing PE algorithms vulnerable to jigsaw puzzle attacks. Therefore, this paper presents an extension of block-based PE methods that utilizes different keys for each color component when changing orientation of a block and pixel values in a block. Thus, offers better encryption performance as the color distribution of the original is changed significantly and the keyspace is expanded. The analysis on Tecnick dataset shows that the proposed PE method preserves compression performance of the existing methods while improving their encryption efficiency. In addition, the main advantage of the proposed method is that of being compatible with a widely used JPEG image standard, which makes it suitable for different outsourced multimedia applications such as, privacy-preserving deep learning, cloud-based photo storage, and social networking services.

목차

Abstract
1. Introduction
2. Proposed Method
3. Results and Discussion
3.1. Compression analysis
3.2. Encryption analysis
4. Conclusion
Acknowledgement
References

키워드

저자

• Ijaz Ahmad [ Dept. of Computer Engineering Chosun University ]
• Seokjoo Shin [ Dept. of Computer Engineering Chosun University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004