A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing
Joint Authors
Zhang, Rui
Xiao, Di
Chang, Yanting
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-29
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhang, Rui& Xiao, Di& Chang, Yanting. 2018. A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1213900
Modern Language Association (MLA)
Zhang, Rui…[et al.]. A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing. Security and Communication Networks No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1213900
American Medical Association (AMA)
Zhang, Rui& Xiao, Di& Chang, Yanting. A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1213900
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213900