Secure databases: protection against user influence
ACM Transactions on Database Systems (TODS)
Linear queries in statistical databases
ACM Transactions on Database Systems (TODS)
Security in statistical databases for queries with small counts
ACM Transactions on Database Systems (TODS)
System R: relational approach to database management
ACM Transactions on Database Systems (TODS)
The design and implementation of INGRES
ACM Transactions on Database Systems (TODS)
A model of statistical database their security
ACM Transactions on Database Systems (TODS)
`` Strong '' NP-Completeness Results: Motivation, Examples, and Implications
Journal of the ACM (JACM)
A Survey of Analysis Techniques for Discrete Algorithms
ACM Computing Surveys (CSUR)
A study on the protection of statistical data bases
SIGMOD '77 Proceedings of the 1977 ACM SIGMOD international conference on Management of data
SEQUEL: A structured English query language
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control
Inference from statistical data bases.
Inference from statistical data bases.
Practical data-swapping: the first steps
ACM Transactions on Database Systems (TODS)
Security problems on inference control for SUM, MAX, and MIN queries
Journal of the ACM (JACM)
Resolving the tension between integrity and security using a theorem prover
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Protecting statistical databases: a matter of privacy
ACM SIGCAS Computers and Society
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
A modified random perturbation method for database security
ACM Transactions on Database Systems (TODS)
Privacy issues in statistical database environments
ACM SIGCAS Computers and Society
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)
Compromising statistical databases responding to queries about means
ACM Transactions on Database Systems (TODS)
MULTISAFE—a modular multiprocessing approach to secure database management
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)
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)
A deterrent to linear system inferential attacks using a mediator
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
ACM Computing Surveys (CSUR)
Formal Models for Computer Security
ACM Computing Surveys (CSUR)
The statistical security of a statistical database
ACM Transactions on Database Systems (TODS)
Non-reversible privacy transformations
PODS '82 Proceedings of the 1st ACM SIGACT-SIGMOD symposium on Principles of database systems
Privacy Risks in Recommender Systems
IEEE Internet Computing
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
An Analytic Approach to Statistical Databases
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
Auditing Interval-Based Inference
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Revealing information while preserving privacy
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Auditing for secure statistical databases
ACM '81 Proceedings of the ACM '81 conference
Privacy conflicts in CRM services for online shops: a case study
CRPIT '14 Proceedings of the IEEE international conference on Privacy, security and data mining - Volume 14
Information sharing across private databases
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Multidimensional databases
Data Obfuscation: Anonymity and Desensitization of Usable Data Sets
IEEE Security and Privacy
Additional facilities of a concentional DBMS to support interactive statistical analysis
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
For large meta information of national integrated statistics
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Efficient inference control for range SUM queries on statistical data bases
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Query directed partitioning scheme for securing statistical databases
SSDBM'81 Proceedings of the 1st LBL 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
Optimal distribution of restricted ranges in secure statistical database
SSDBM'1990 Proceedings of the 5th international conference on Statistical and Scientific Database Management
The classification problem with semantically heterogeneous data
SSDBM'1988 Proceedings of the 4th international conference on Statistical and Scientific Database Management
Ranges and trackers in statistical databases
SSDBM'1988 Proceedings of the 4th international conference on Statistical and Scientific Database Management
On tracker attacks in health grids
Proceedings of the 2006 ACM symposium on Applied computing
L-diversity: Privacy beyond k-anonymity
ACM Transactions on Knowledge Discovery from Data (TKDD)
Sanitization models and their limitations
NSPW '06 Proceedings of the 2006 workshop on New security paradigms
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Privacy preserving data obfuscation for inherently clustered data
International Journal of Information and Computer Security
Parity-based inference control for multi-dimensional range sum queries
Journal of Computer Security
A security policy for a profile-oriented operating system
AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference
Effective inference control mechanisms for securing statistical databases
AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference
Dynamic inference control in privacy preference enforcement
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
A Bayesian model for disclosure control in statistical databases
Data & Knowledge Engineering
Privacy-Preserving Data Publishing
Foundations and Trends in Databases
Data base security: requirements, policies, and models
IBM Systems Journal
Self-enforcing Private Inference Control
ProvSec '09 Proceedings of the 3rd International Conference on Provable Security
A cubic-wise balance approach for privacy preservation in data cubes
Information Sciences: an International Journal
New paradigm of inference control with trusted computing
Proceedings of the 21st annual IFIP WG 11.3 working conference on Data and applications security
Differential privacy: a survey of results
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
An ad omnia approach to defining and achieving private data analysis
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Some additional insights on applying differential privacy for numeric data
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Software—Practice & Experience - Focus on Selected PhD Literature Reviews in the Practical Aspects of Software Technology
A file protection system based on a trapdoor one-way hash function
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Evaluating Laplace Noise Addition to Satisfy Differential Privacy for Numeric Data
Transactions on Data Privacy
On deducibility and anonymisation in medical databases
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
A new k-anonymous message transmission protocol
WISA'04 Proceedings of the 5th international conference on Information Security Applications
Temporal context lie detection and generation
SDM'06 Proceedings of the Third VLDB international conference on Secure Data Management
Auditing and inference control for privacy preservation in uncertain environments
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
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The query programs of certain databases report raw statistics for query sets, which are groups of records specified implicitly by a characteristic formula. The raw statistics include query set size and sums of powers of values in the query set. Many users and designers believe that the individual records will remain confidential as long as query programs refuse to report the statistics of query sets which are too small. It is shown that the compromise of small query sets can in fact almost always be accomplished with the help of characteristic formulas called trackers. Schlörer's individual tracker is reviewed; it is derived from known characteristics of a given individual and permits deducing additional characteristics he may have. The general tracker is introduced: It permits calculating statistics for arbitrary query sets, without requiring preknowledge of anything in the database. General trackers always exist if there are enough distinguishable classes of individuals in the database, in which case the trackers have a simple form. Almost all databases have a general tracker, and general trackers are almost always easy to find. Security is not guaranteed by the lack of a general tracker.