A Data Management Method to Secure Data in Cloud Computing Environment
Rise in the use of mobile Internet is increasing the volume of data stored and managed on a daily basis beyond TB level. Google, Yahoo and Amazon, etc. are developing proprietary distributed computing platform technologies based on massive cluster to store and manage data in large quantity. One of the best-known applications of cloud computing is u-Healthcare service. u-Healthcare adopts cloud computing to enable consolidation and sharing of medical data. Notably, cloud computing may save system implementation costs in u-Healthcare service delivery process. Cloud computing may make sense for u-Healthcare service. However, since full trust in cloud computing service provider is a must, issues involving privacy violation or personal data disclosure may break out. Such issues occur as sensitive medical data relates to identifiable data of certain individual. To address such issues, this paper proposes AONT-based privacy protection method suited to support massive data processing in cloud environment. The method herein is suitable for processing large quantity of data, as AONT supports variation in size of fragment along with XOR operation. It can also minimize increase in DB size now appearing in relation to penetration of smartphone.
KeywordsBucket ID Transformation Encryption Database Inference Attack AES Range Query
Unable to display preview. Download preview PDF.
- 3.Chang, F., Dean, J., Ghemawat, S., Hsieh, W., Wallach, D., Burrows, M., Chandra, T., Fikes, A., Gruber, R.: Bigtable: A Distributed Storage System for Structured Data. In: Proc. of the 7th OSDI (2006)Google Scholar
- 4.CSA, Security Guidance for Critical Areas of Focus Cloud Computing V2.1 (2009) Google Scholar
- 7.Ciriani, V., Vimercati, S.D.C., Foresti, S., Jajodia, S., Paraboschi, S., Samarati, P.: Fragmentation and encryption to enforce privacy in data storage. In: Proc. of the 12th ESORICS, Dresden, Germany (2007)Google Scholar