期刊论文详细信息
| Natural and Engineering Sciences | |
| Grayscale Image Authentication using Neural Hashing | |
| article | |
| Yakup Kutlu1  Apdullah Yayık2  | |
| [1] Department of Computer Engineering, Faculty of Electrical and Electronics, İskenderun Technical University;Turkish Army Forces | |
| 关键词: Image Authentication; Cryptology; Hash Function; Statistical and Security Analysis.; | |
| DOI : 10.28978/nesciences.286048 | |
| 学科分类:数学(综合) | |
| 来源: Natural and Engineering Sciences | |
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【 摘 要 】
Many different approaches for neural network based hash functions have been proposed. Statistical analysis must correlate security of them. This paper proposes novel neural hashing approach for gray scale image authentication. The suggested system is rapid, robust, useful and secure. Proposed hash function generates hash values using neural network one-way property and non-linear techniques. As a result security and performance analysis are performed and satisfying results are achieved. These features are dominant reasons for preferring against traditional ones.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202106050003607ZK.pdf | 486KB |
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