A Survey on Image Authentication Techniques
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In existing blockchain technology, the encryption algorithm and the method of calling the contract to obtain the key are complicated and not suitable for the safe storage of image information in the big data environment.
“In the existing blockchain technology, the traditional hash algorithm has low accuracy for the infringement detection of images after noise addition and rotation operation, and the encryption algorithm and the method of calling the contract to obtain the key are complicated, which is not suitable for the safe storage of image information in the big data environment [5].”
From Digital Image Copyright Protection and Management Approach—Based on Artificial Intelligence and Blockchain Technology (2025) · cites this paper as [5]
In existing blockchain technology, the traditional hash algorithm has low accuracy for infringement detection of images after noise addition and rotation operation.
“In the existing blockchain technology, the traditional hash algorithm has low accuracy for the infringement detection of images after noise addition and rotation operation, and the encryption algorithm and the method of calling the contract to obtain the key are complicated, which is not suitable for the safe storage of image information in the big data environment [5].”
From Digital Image Copyright Protection and Management Approach—Based on Artificial Intelligence and Blockchain Technology (2025) · cites this paper as [5]
Cited by
Sorted by citations
Xu, J., Zhang, J., & Wang, J. (2025) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer20020076 · Cited by 9 · see citing works
“…low accuracy for the infringement detection of images after noise addition and rotation operation, and the encryption algorithm and the method of calling the contract to obtain the key are complicated, which is not suitable for the safe storage of image information in the big data environment [5].”
- Authors
- Kumaraguru College of Technology, Jothimani, S., & Betty, P.
- Venue
- International Journal of Engineering Trends and Technology
- Published
- 2014-01-25
- Volume
- 7
- Issue
- 4
- Pages
- 184-186
- ISSN
- 2231-5381 (ISSN-L)
- OpenAlex
- W2978926904
- Cited by
- 5
- References
- 0
- Citations by year
- 2025: 1 · 2019: 1 · 2018: 2 · 2017: 1
- FWCI
- 0.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Engineering Trends and Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Keywords
- image authentication, image forgery detection, image forensics, image editing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
