Abstract
This paper proposes a novel tamper detection, localization, and recovery scheme for encrypted images with Discrete Wavelet Transformation (DWT) and Compressive Sensing (CS). The original image is first transformed into DWT domain and divided into important part, that is, low-frequency part, and unimportant part, that is, high-frequency part. For low-frequency part contains the main information of image, traditional chaotic encryption is employed. Then, high-frequency part is encrypted with CS to vacate space for watermark. The scheme takes the processed original image content as watermark, from which the characteristic digest values are generated. Comparing with the existing image authentication algorithms, the proposed scheme can realize not only tamper detection and localization but also tamper recovery. Moreover, tamper recovery is based on block division and the recovery accuracy varies with the contents that are possibly tampered. If either the watermark or low-frequency part is tampered, the recovery accuracy is 100%. The experimental results show that the scheme can not only distinguish the type of tamper and find the tampered blocks but also recover the main information of the original image. With great robustness and security, the scheme can adequately meet the need of secure image transmission under unreliable conditions.
Highlights
With the rapid development of data storage and digital process, more and more digital information is transformed and transmitted over the Internet day by day, which brings people a series of security problems as well as convenience
In view of these insufficiencies, we propose a Compressive Sensing (CS) based image authentication scheme for the encrypted image jointly with tamper detection, localization, and recovery
When a tamper is detected, a comparison between the characteristic digest values generated from the extracted watermark and the one transmitted via a secure channel is needed for tamper localization, tamper content authentication, and tamper recovery
Summary
With the rapid development of data storage and digital process, more and more digital information is transformed and transmitted over the Internet day by day, which brings people a series of security problems as well as convenience. Different from conventional authentication, content-based digital signature and watermarking technique can detect the range of tamper and judge whether. Most of the existing digital signature and watermarking techniques can only detect the integrity of images or conduct image content authentication with no self-recovery ability or limited self-recovery ability. Secret data can be commendably extracted and can be employed to tamper detection, localization and original data recovery In this way, data can be securely transmitted while the authentication of data integrity and authenticity can be conducted, which has great practical significance. The experimental results show that the proposed scheme can distinguish the type of tamper and find the tampered image block and recover the main information of the original image.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
