静态视觉图像全加密与选择加密性能比较研究

Osama A. KHASHAN; Abdullah M. ZIN; Elankovan A. SUNDARARAJAN

doi:10.1631/jzus.C1300262

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静态视觉图像全加密与选择加密性能比较研究

计算机与自动化 | Updated：2022-05-19

- 静态视觉图像全加密与选择加密性能比较研究
- Performance study of selective encryption in comparison to full encryption for still visual images
- 信息与电子工程前沿（英文） 2014年15卷第6期页码：435-444
- Affiliations：
  
  Centre for Software Technology and Management, Faculty of Information Science and Technology, National University of Malaysia (UKM), Bangi 43600, Selangor, Malaysia
- Author bio：
  
  [ "Osama A. KHASHAN, E-mail: o_khashan@yahoo.com" ]
  [ "Abdullah M. ZIN, E-mail: amz@ftsm.ukm.my" ]
  [ "Elankovan A. SUNDARARAJAN, E-mail: elan@ftsm.ukm.my" ]
- Funds：
- DOI：10.1631/jzus.C1300262
  中图分类号： TP309
- 收稿：2013-09-18，
  
  修回：2014-;5-;4，
  
  纸质出版：2014-06
- Accepted：
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静态视觉图像全加密与选择加密性能比较研究[J]. 信息与电子工程前沿（英文）, 2014,15(6):435-444.

Osama A. KHASHAN, Abdullah M. ZIN, Elankovan A. SUNDARARAJAN. Performance study of selective encryption in comparison to full encryption for still visual images[J]. Frontiers of Information Technology & Electronic Engineering, 2014, 15(6): 435-444.
静态视觉图像全加密与选择加密性能比较研究[J]. 信息与电子工程前沿（英文）, 2014,15(6):435-444. DOI： 10.1631/jzus.C1300262.

Osama A. KHASHAN, Abdullah M. ZIN, Elankovan A. SUNDARARAJAN. Performance study of selective encryption in comparison to full encryption for still visual images[J]. Frontiers of Information Technology & Electronic Engineering, 2014, 15(6): 435-444. DOI： 10.1631/jzus.C1300262.

摘要

研究目的

安全图像的广泛使用，使得数字图像安全防护成为信息安全领域的一个重要关注点。图像加密是保障机密、保护隐私最为有效的方法。然而，数字图像的大尺寸和复杂结构，使得图像全加密耗费巨大计算量和处理时间，不利于其在实时系统中频繁使用。因此，许多近期研究采用选择加密，只对图像重要部分加密，以降低加密成本。相比全加密，选择加密性能如何？有必要加以评估。

研究方法

本文研究了选择加密方法中运用的图像分割方法（如边缘检测和人脸检测）在视觉图像重要部分判定上的性能和效率。通过实验，对采用对称加密算法的选择加密和全加密的运算结果进行比较。

重要结论

实验结果证实，较之全加密，基于边缘和人脸检测的选择加密方法显著减少静态视觉图像的加密时间。选择加密适合于对安全等级有适当要求的实时应用。

Abstract

Securing digital images is becoming an important concern in today's information security due to the extensive use of secure images that are either transmitted over a network or stored on disks. Image encryption is the most effective way to fulfil confidentiality and protect the privacy of images. Nevertheless

owing to the large size and complex structure of digital images

the computational overhead and processing time needed to carry out full image encryption prove to be limiting factors that inhibit it of being used more heavily in real time. To solve this problem

many recent studies use the selective encryption approach to encrypt significant parts of images with a hope to reduce the encryption overhead. However

it is necessary to realistically evaluate its performance compared to full encryption. In this paper

we study the performance and efficiency of image segmentation methods used in the selective encryption approach

such as edges and face detection methods

in determining the most important parts of visual images. Experiments were performed to analyse the computational results obtained by selective image encryption compared to full image encryption using symmetric encryption algorithms. Experiment results have proven that the selective encryption approach based on edge and face detection can significantly reduce the time of encrypting still visual images as compared to full encryption. Thus

this approach can be considered a good alternative in the implementation of real-time applications that require adequate security levels.

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