Abstract
Image authentication and integrity have become an important issue for multimedia applications since digital images may be easily modified and perfectly reproduced. This paper addresses the protection of image authentication and integrity on CNN-UM. Watermarking and cryptographic hash functions are techniques used for this protection. We propose two methods using each technique, spatial domain fragile watermarking and a novel unkeyed hash function named Cellhash2D.
Original language | English |
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Title of host publication | Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 |
Editors | Ronald Tetzlaff |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 399-406 |
Number of pages | 8 |
ISBN (Electronic) | 981238121X |
DOIs | |
Publication status | Published - 2002 |
Externally published | Yes |
Event | 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 - Frankfurt, Germany Duration: 22 Jul 2002 → 24 Jul 2002 |
Publication series
Name | Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications |
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Volume | 2002-January |
Conference
Conference | 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 |
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Country/Territory | Germany |
City | Frankfurt |
Period | 22/07/02 → 24/07/02 |
Bibliographical note
Publisher Copyright:© 2002 World Scientific Publ. Co. Pte. Ltd.
Keywords
- Cameras
- Cellular neural networks
- Cryptography
- Digital images
- Message authentication
- Production
- Protection
- Robustness
- Security
- Watermarking