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Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi.

Authors :
Khafaga, Doaa Sami
Alhammad, Sarah M.
Magdi, Amal
ElKomy, Osama
Lashin, Nabil A.
Hosny, Khalid M.
Source :
Computer Systems Science & Engineering; 2023, Vol. 47 Issue 2, p1967-1986, 20p
Publication Year :
2023

Abstract

Image authentication techniques have recently received a lot of attention for protecting images against unauthorized access. Due to the wide use of the Internet nowadays, the need to ensure data integrity and authentication increases. Many techniques, such as watermarking and encryption, are used for securing images transmitted via the Internet. The majority of watermarking systems are PC-based, but they are not very portable. Hardwarebased watermarkingmethods need to be developed to accommodate real-time applications and provide portability. This paper presents hybrid data security techniques using a zero watermarkingmethod to provide copyright protection for the transmitted color images using multi-channel orthogonal Legendre Fourier moments of fractional orders (MFrLFMs) and the advanced encryption standard (AES) algorithm on a low-cost Raspberry Pi. In order to increase embedding robustness, the watermark picture is scrambled using the Arnold method. Zero watermarking is implemented on the Raspberry Pi to produce a real-time ownership verification key. Before sending the ownership verification key and the original image to the monitoring station, we can encrypt the transmitted data with AES for additional security and hide any viewable information. The receiver next verifies the received image's integrity to confirmits authenticity and that it has not been tampered with. We assessed the suggested algorithm's resistance tomany attacks. The suggested algorithm provides a reasonable degree of robustness while still being perceptible. The proposed method provides improved bit error rate (BER) and normalized correlation (NC) values compared to previous zero watermarking approaches. AES performance analysis is performed to demonstrate its effectiveness. Using a 256 × 256 image size, it takes only 2 s to apply the zero-watermark algorithm on the Raspberry Pi. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02676192
Volume :
47
Issue :
2
Database :
Supplemental Index
Journal :
Computer Systems Science & Engineering
Publication Type :
Academic Journal
Accession number :
169779885
Full Text :
https://doi.org/10.32604/csse.2023.040345