@inproceedings{2312115db4904e46a609a41b907b57d6,
title = "A possible solution for privacy-preserving cloud data storage",
abstract = "Despite the economic advantages of cloud data storage, many corporations have not yet migrated to this technology. While corporations in the financial sector cite data security as a reason, corporations in other sectors cite privacy concerns for this reluctance. In this paper, we propose a possible solution for this problem inspired by the HIPAA safe harbor methodology for data anonymization. The proposed technique involves using a hash function that uniquely identifies the data and then splitting data across multiple cloud providers. We propose that such a {"}Good Enough{"} approach to privacy-preserving cloud data storage is both technologically feasible and financially advantageous. Following this approach addresses concerns about privacy harms resulting from accidental or deliberate data spills from cloud providers. The {"}Good Enough{"} method will enable firms to move their data into the cloud without incurring privacy risks, enabling them to realize the economic advantages provided by the payper-use model of cloud data storage.",
keywords = "Cloud, Data privacy, Obfuscation",
author = "Mithun Paul and Christian Collberg and Derek Bambauer",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Cloud Engineering, IC2E 2015 ; Conference date: 09-03-2015 Through 12-03-2015",
year = "2015",
doi = "10.1109/IC2E.2015.103",
language = "English (US)",
series = "Proceedings - 2015 IEEE International Conference on Cloud Engineering, IC2E 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "397--403",
booktitle = "Proceedings - 2015 IEEE International Conference on Cloud Engineering, IC2E 2015",
}