An efficient batch images encryption method based on DNA encoding and PWLCM
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An efficient batch images encryption method based on DNA encoding and PWLCM Xiaofeng Wang 1
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& Bin Li & Yan Wang & Jinjin Lei & Jianru Xue
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Received: 11 October 2019 / Revised: 7 July 2020 / Accepted: 4 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
With the rapid development of the Internet, there is a pressing requirement for data security protection in Internet. However, in some applications, resource constrained devices in Internet requires that the algorithm for data encryption have high reliability and availability, as well as extremely low latency, and strong robustness in harsh environment. In this work, we propose an efficient batch images encryption/decryption scheme based on DNA encoding and piecewise linear chaotic mapping system (PWLCM). Different from all existing methods, the proposed method can encrypt/ decrypt any number of images with different sizes via only single encryption computation, and the computing cost is equivalent to that of encrypting a single image. Experimental results demonstrate that the proposed method has strong robustness to resist the interference of harsh environment, such as noise contamination, JPEG compression, and image content loss. We also investigate the computing cost, encryption effect and the security. Comparing with the state-of-the-art methods, the proposed method has high encryption efficiency, stronger robustness and security. Keywords Batch images encryption . Images stacking . PWLCM . DNA encoding
1 Introduction With the rapid development of digital technology and the widespread use of multimedia acquisition tools, multimedia data such as image, video, and audio have become the main carrier of information dissemination and have play an irreplaceable role in many applications. However, the security risks pose new challenges for its application. Massive images and video
* Xiaofeng Wang [email protected]; [email protected]
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Xi’an University of Technology, Xi’an, Shaanxi 710048, People’s Republic of China
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Institute of Artificial Intelligence and Robotics at Xi’an Jiaotong University, Xi’an, Shaanxi 710049, People’s Republic of China
Multimedia Tools and Applications
information are transmitted in the Internet, the security incidents such as information leakage, content tampering and content forgery emerge in endlessly. For example, the experts from Greenbone Networks vulnerability analysis and management company discovered 600 unprotected servers exposed online that contained medical radiological images. The research was conducted between mid-July 2019 and early September 2019. The unprotected medical image storage systems were located in 52 countries, the experts discovered that they were affected by 10,000 vulnerabilities, more than 500 of them rated with the highest severity score (CVSS 10 out of 10). Researchers analyzed about 2300 Pictures Archiving and Communication System (PACS) that were exposed online. There are more than 737 million images linked to the patient data, in these images
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