Vertical partitioning algorithms for database design
ACM Transactions on Database Systems (TODS)
Vertical partitioning for database design: a graphical algorithm
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Applied cryptography (2nd ed.): protocols, algorithms, and source code in C
Applied cryptography (2nd ed.): protocols, algorithms, and source code in C
Executing SQL over encrypted data in the database-service-provider model
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Approximating Maximum Independent Sets in Uniform Hypergraphs
MFCS '98 Proceedings of the 23rd International Symposium on Mathematical Foundations of Computer Science
Providing Database as a Service
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Balancing confidentiality and efficiency in untrusted relational DBMSs
Proceedings of the 10th ACM conference on Computer and communications security
Approximate coloring of uniform hypergraphs
Journal of Algorithms
Modeling and assessing inference exposure in encrypted databases
ACM Transactions on Information and System Security (TISSEC)
Journal of Cognitive Neuroscience
A data outsourcing architecture combining cryptography and access control
Proceedings of the 2007 ACM workshop on Computer security architecture
Preserving confidentiality of security policies in data outsourcing
Proceedings of the 7th ACM workshop on Privacy in the electronic society
Enforcing Confidentiality Constraints on Sensitive Databases with Lightweight Trusted Clients
Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII
Combining Consistency and Confidentiality Requirements in First-Order Databases
ISC '09 Proceedings of the 12th International Conference on Information Security
Encryption policies for regulating access to outsourced data
ACM Transactions on Database Systems (TODS)
Combining fragmentation and encryption to protect privacy in data storage
ACM Transactions on Information and System Security (TISSEC)
Keep a few: outsourcing data while maintaining confidentiality
ESORICS'09 Proceedings of the 14th European conference on Research in computer security
Horizontal fragmentation for data outsourcing with formula-based confidentiality constraints
IWSEC'10 Proceedings of the 5th international conference on Advances in information and computer security
Distributing data for secure database services
Proceedings of the 4th International Workshop on Privacy and Anonymity in the Information Society
Adaptive, secure, and scalable distributed data outsourcing: a vision paper
Proceedings of the 2011 workshop on Dynamic distributed data-intensive applications, programming abstractions, and systems
Data privacy preservation during schema evolution for multi-tenancy applications in cloud computing
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
Distributing Data for Secure Database Services
Transactions on Data Privacy
Confidentiality-Preserving query execution of fragmented outsourced data
ICT-EurAsia'13 Proceedings of the 2013 international conference on Information and Communication Technology
An OBDD approach to enforce confidentiality and visibility constraints in data publishing
Journal of Computer Security - DBSec 2011
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Privacy requirements have an increasing impact on the realization of modern applications. Technical considerations and many significant commercial and legal regulations demand today that privacy guarantees be provided whenever sensitive information is stored, processed, or communicated to external parties. It is therefore crucial to design solutions able to respond to this demand with a clear integration strategy for existing applications and a consideration of the performance impact of the protection measures. In this paper we address this problem and propose a solution to enforce privacy over data collections by combining data fragmentation with encryption. The idea behind our approach is to use encryption as an underlying (conveniently available) measure for making data unintelligible, while exploiting fragmentation as a way to break sensitive associations between information.