Secure databases-Reference-Cited by-同舟云学术

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Secure databases

Published:1979-03 Issue:1 Volume:4 Page:97-106
ISSN:0362-5915
Container-title:ACM Transactions on Database Systems
language:en
Short-container-title:ACM Trans. Database Syst.

Author:

Dobkin David¹,Jones Anita K.²,Lipton Richard J.³

Affiliation:

1. Univ. of Arizona, Tucson

2. Carnegie-Mellon Univ., Pittsburgh, PA

3. Yale Univ., New Haven, CT

Abstract

Users may be able to compromise databases by asking a series of questions and then inferring new information from the answers. The complexity of protecting a database against this technique is discussed here.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems

Link

https://dl.acm.org/doi/pdf/10.1145/320064.320068

Reference12 articles.

1. A relational model of data for large shared data banks

2. Even Data Bases That Lie Can Be Compromised

3. A lattice model of secure information flow

4. Memoryless subsystems

5. Protection

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1. Towards Matching User Mobility Traces in Large-Scale Datasets;IEEE Transactions on Big Data;2020-12-01

2. CASTLE: Enhancing the Utility of Inequality Query Auditing Without Denial Threats;IEEE Transactions on Information Forensics and Security;2018-07

3. Securing Databases from Probabilistic Inference;2017 IEEE 30th Computer Security Foundations Symposium (CSF);2017-08

4. Differentially private response mechanisms on categorical data;Discrete Applied Mathematics;2016-10

5. Related Work;Advances in Information Security;2016

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