Security problems on inference control for SUM, MAX, and MIN queries
Journal of the ACM (JACM)
Further results on the security of partitioned dynamic statistical databases
ACM Transactions on Database Systems (TODS)
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Static detection of security flaws in object-oriented databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Security of statistical databases: multidimensional transformation
ACM Transactions on Database Systems (TODS)
ACM Transactions on Database Systems (TODS)
A database encryption system with subkeys
ACM Transactions on Database Systems (TODS)
MULTISAFE—a modular multiprocessing approach to secure database management
ACM Transactions on Database Systems (TODS)
The tracker: a threat to statistical database security
ACM Transactions on Database Systems (TODS)
Linear queries in statistical databases
ACM Transactions on Database Systems (TODS)
A fast procedure for finding a tracker in a statistical database
ACM Transactions on Database Systems (TODS)
Security in statistical databases for queries with small counts
ACM Transactions on Database Systems (TODS)
Secure statistical databases with random sample queries
ACM Transactions on Database Systems (TODS)
A security machanism for statistical database
ACM Transactions on Database Systems (TODS)
Security of statistical databases: multidimensional transformation
ACM Transactions on Database Systems (TODS)
Security in Databases: A Combinatorial Study
Journal of the ACM (JACM)
Randomizing, A Practical Method for Protecting Statistical Databases Against Compromise
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Statistical Databases: Characteristics, Problems, and some Solutions
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Auditing for secure statistical databases
ACM '81 Proceedings of the ACM '81 conference
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
An information theoretic approach to statistical databases and their security: a preliminary report
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
A security model for the statistical database problem
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
Statistical databases: their model, query language and security
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
Research topics in statistical and scientific database management: the IV SSDBM
SSDBM'1988 Proceedings of the 4th international conference on Statistical and Scientific Database Management
Towards robustness in query auditing
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Protection of information in relational data bases
VLDB '77 Proceedings of the third international conference on Very large data bases - Volume 3
Privacy and security of data communications and data bases
VLDB '78 Proceedings of the fourth international conference on Very Large Data Bases - Volume 4
Information protection by method base systems
VLDB '78 Proceedings of the fourth international conference on Very Large Data Bases - Volume 4
Simulatable Binding: Beyond Simulatable Auditing
SDM '08 Proceedings of the 5th VLDB workshop on Secure Data Management
Effective inference control mechanisms for securing statistical databases
AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference
Statistical analysis for comparison of the key representation database with the original database
International Journal of Business Information Systems
Unauthorized inferences in semistructured databases
Information Sciences: an International Journal
Denials leak information: Simulatable auditing
Journal of Computer and System Sciences
An overview of recent data base research
ACM SIGMIS Database
Hi-index | 0.00 |
Considered here, for a particular model of databases in which only information about relatively large sets of records can be obtained, is the question of whether one can from statistical information obtain information about individuals. Under the assumption that the data in the database is taken from arbitrary integers, it is shown that essentially nothing can be inferred. It is also shown that when the values are known to be imprecise in some fixed range, one can often deduce the values of individual records.