Big data storage security
- Publisher:
- Springer
- Publication Type:
- Chapter
- Citation:
- Big Data Concepts, Theories, and Applications, 2016, pp. 237-255
- Issue Date:
- 2016-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 19856449_9393554040005671.pdf | Published version | 462.9 kB |
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The demand for data storage and processing is increasing at a rapid speed in the big data era. The management of such tremendous volume of data is a critical challenge to the data storage systems. Firstly, since 60% of the stored data is claimed to be redundant, data deduplication technology becomes an attractive solution to save storage space and traffic in a big data environment. Secondly, the security issues, such as confidentiality, integrity and privacy of the big data should also be considered for big data storage. To address these problems, convergent encryption is widely used to secure data deduplication for big data storage. Nonetheless, there still exist some other security issues, such as proof of ownership, key management and so on. In this chapter, we first introduce some major cyber attacks for big data storage. Then, we describe the existing fundamental security techniques, whose integration is essential for preventing data from existing and future security attacks. By discussing some interesting open problems, we finally expect to trigger more research efforts in this new research field.
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