Cloud Computing has huge impact on IT systems. It offers advantages like flexibility and reduced costs. Privacy and security issues, however, remain a major drawback. While data can be secured against external threats using standard techniques, service providers themselves have to be trusted to ensure privacy. In this paper, we present a novel technique for secure database outsourcing. We provide the security notion Ind-ICP that focuses on hiding relations between values. We prove the security of our approach and present benchmarks showing the practicability of this solution. Furthermore, we developed a plug-in for a persistence layer. Our plug-in de-and encrypts sensitive data transparently to the client application. By using encrypted indices, queries can still be executed efficiently. © IFIP International Federation for Information Processing 2013.
CITATION STYLE
Huber, M., Gabel, M., Schulze, M., & Bieber, A. (2013). Cumulus4j: A provably secure database abstraction layer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8128 LNCS, pp. 180–193). https://doi.org/10.1007/978-3-642-40588-4_13
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