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2017

D. Ucci, L. Aniello, R. Baldoni
Share a pie? Privacy-Preserving Knowledge Base Export through Count-min Sketches

To appear in Proceedings of the 7th ACM Conference on Data and Application Security and Privacy (ACM CODASPY), 2017
Downloads:bib - BibTeX reference



E. Gaetani, L. Aniello, R. Baldoni, F. Lombardi, A. Margheri, V. Sassone
Blockchain-based Database to Ensure Data Integrity in Cloud Computing Environments

To appear in Proceedgins of the 1st Italian Conference on Cybersecurity (ITASEC), 2017

Abstract [+]

"Data is nowadays an invaluable resource, indeed it guides all business decisions in most of the computer-aided human activities. Threats to data integrity are thus of paramount relevance, as tampering with data may maliciously affect crucial business decisions. This issue is especially true in cloud computing environments, where data owners cannot control fundamental data aspects, like the physical storage of data and the control of its accesses. Blockchain has recently emerged as a fascinating technology which, among others, provides compelling properties about data integrity. Using the blockchain to face data integrity threats seems to be a natural choice, but its current limitations of low throughput, high latency, and weak stability hinder the practical feasibility of any blockchain-based solutions. In this paper, by focusing on a case study from the European SUNFISH project, which concerns the design of a secure by-design cloud federation platform for the public sector, we precisely delineate the actual data integrity needs of cloud computing environments and the research questions to be tackled to adopt blockchain-based databases. First, we detail the open research questions and the difficulties inherent in addressing them. Then, we outline a preliminary design of an effective blockchain-based database for cloud computing environments."

Downloads:bib - BibTeX reference

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