| Autor: |
S. Preetha Bini, S. Abirami |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9789811078705 |
| DOI: |
10.1007/978-981-10-7871-2_24 |
| Popis: |
With explosive growth of digital data and users wanting to outsource the data, there is great need for securely storing the data and utilization of storage space. Data deduplication eliminates redundant data from the storage and, thereby reducing the backup window, improves the efficiency of storage space and utilization of network bandwidth. Multimedia data such as images and videos are a good choice for deduplication, as it is one of the most frequent shared types of data found on data storage. A conventional secure deduplication employs exact data deduplication which is too rigid for multimedia data. Perceptually similar data maintain human visual perception and consume a lot of storage space. The proposed approach provides a framework for secure fuzzy deduplication for multimedia data and further strengthens the security by integrating proof of retrieval and proof of ownership protocols. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
