Journal Article10.1360/JOS170750
Inference Control in Secure Database
Yan Heping,Wang Wei,Shi Baile +2 more
TL;DR: This paper investigates the inference problems due to functional dependencies and multi-valued dependencies in a multilevel relational database with element classification schemes and proposes a view-based inference control method which can eliminate the secure problem brought by multi-view collusions.
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Abstract: This paper investigates the inference problems due to functional dependencies (FD) and multi-valued dependencies (MVD) in a multilevel relational database with element classification schemes. The algorithms presented can greatly improve the data availability. To further deal with the indirect privacy violation, the view-based inference control method is proposed which can eliminate the secure problem brought by multi-view collusions. The theories of splitting views into the view dependency basis are the foundation of future work on the view-based inference control.
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Citations
Research on Secure Method Oriented Digital Ocean System
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- 20 Jan 2017
TL;DR: The multi-level security mechanism that marine data is ordered by level of importance and a security model that is a combination of BLP model and Biba model ensures confidentiality and integrity in Digital Ocean system.
Design of Description Language for Data Operation Base on XML
章美仁,李希文 +1 more
TL;DR: A data operation description language based on XML is designed, enabling API explanations, database structure control, UI communication, and improved software maintainability and expandability through XML-based language definitions and API integration.
Research Progress on Security in Micro Data Outsourcing Scenario
XU Yong,DING Zhong-ming,SHEN Xiao-ling +2 more
TL;DR: This paper reviews the security advancements in micro data outsourcing, focusing on privacy preservation, data confidentiality, and addressing opening issues in this area, with implications for secure database outsourcing scenarios.
New definition of small message criterion and its application in transaction covert channel mitigating
HaiTao Zeng,Yongji Wang,ZU Wei,JiaYong Cai,RUAN Li +4 more
TL;DR: A new definition of Small Message Criterion (SMC) is proposed, incorporating message value and sensitivity, to measure and mitigate transaction covert channel threats in secure systems, improving threat tolerance and mitigation effectiveness.
The Inference Control of Functional Dependency Based on Inference Channel
XU Yan,MA Jun,HE Qing-fa,CHE Mei +3 more
TL;DR: This paper proposes methods for inference control based on functional dependency, constructing inference channels using minimal functional dependency sets and dynamic instance combination, and demonstrates their effectiveness in defending against inference attacks in the Shenzhou OSCAR Secure Database.
References
Secure Computer System: Unified Exposition and Multics Interpretation
D. Elliott Bell,Leonard J. La Padula +1 more
- 01 Mar 1976
TL;DR: A suggestive interpretation of the model in the context of Multics and a discussion of several other important topics (such as communications paths, sabotage and integrity) conclude the report.
The SeaView security model
TL;DR: The model is formulated in two layers, one corresponding to a reference monitor that enforces mandatory security, and an extension of the standard relational model defining multilevel relations and formalizing policies for labeling new and derived data, data consistency, and discretionary security.
237
Design of LDV: a multilevel secure relational database management system
TL;DR: The authors describe the design of a secure database system, LDV (Lock Data Views), that builds upon the classical security policies for operating systems and solutions to the inference and aggregation problems are described.
The multilevel relational (MLR) data model
Ravi Sandhu,Fang Chen +1 more
TL;DR: A new data-basedsemantics is given for the MLR data model by combining ideas from SeaView, belief-based semantics, and LDV, which has the advantages of both eliminating ambiguity and retaining upward information flow.
116
Controlling logical inference in multilevel database systems
M. Morgenstern
- 18 Apr 1988
TL;DR: The author proposes a framework for studying these inference control problems, describes a representation for relevant semantics of the application, develops criteria for safety and security of a system to prevent these problems, and describes the functionality of the proposed classification tool in terms of a scenario for its use.
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