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An edge inspired image watermarking approach using compass edge detector and LSB in cybersecurity
  • Bin Faheem, Zaid ;
  • Hanif, Danial ;
  • Arslan, Farrukh ;
  • Ali, Mubashir ;
  • Hussain, Aamir ;
  • Ali, Jehad ;
  • Baz, Abdullah
Citations

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Publication Year
2023-11-01
Publisher
Elsevier Ltd
Citation
Computers and Electrical Engineering, Vol.111
Keyword
CybersecurityImage watermarkingLeast significant bitSubstitution box
Mesh Keyword
Chaotic encryptionsCyber securityCyber threatsDigital contentsEdge detectorsGradient basedLeast significant bitsSecurity breachesSecurity servicesSubstitution box
All Science Classification Codes (ASJC)
Control and Systems EngineeringComputer Science (all)Electrical and Electronic Engineering
Abstract
In the contemporary era, data holds a vital significance, and ensuring the security of data stands as an exceptionally challenging endeavor. Both industry and academia dedicate substantial efforts to mitigate security breaches. Given the evolving nature of modern cyber threats, there arises a compelling necessity for robust cybersecurity measures concerning digital content. We propose the merits of digital watermarking within the realm of cybersecurity for digital content. Researchers within the watermarking domain are diligently striving to offer the utmost security services. Unfortunately, achieving both robustness and security concurrently within these techniques has proven to be a formidable task. Hence, we delve into a novel approach for image watermarking, which draws inspiration from gradient-based methodologies. This scheme hinges upon compass edge detection, the least significant bit mechanism, and the utilization of chaotic encryption for watermark embedding. The effectiveness and performance are rigorously evaluated against a spectrum of geometrical and image-processing attacks.
ISSN
0045-7906
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33709
DOI
https://doi.org/10.1016/j.compeleceng.2023.108979
Fulltext

Type
Article
Funding
The authors extend their appreciation to the Deanship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number: IFP22UQU4260426DSR172
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