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Paul D. Stachour

dblp:68/2323 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1990
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 50% Query processing and optimization · 50%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Operating systems › system security › operating system security › secure operating system
secure operating system kernel
0.011990
Design of LDV: A Multilevel Secure Relational Database Management System · IEEE Trans. Knowl. Data Eng. 1990
Operating systems › system security › operating system security
trusted computing base
0.011990
Design of LDV: A Multilevel Secure Relational Database Management System · IEEE Trans. Knowl. Data Eng. 1990

Methods — techniques the papers use, named apart from their topics

security policy design · 0.0inference and aggregation control · 0.0
YearPublicationVenuePosition
1990 Design of LDV: A Multilevel Secure Relational Database Management System
abstract
The authors describe the design of a secure database system,LDV (Lock Data Views), that builds upon the classical security policies for operating systems. LDV is hosted on the LOgical Coprocessing Kernel (LOCK) Trusted Computing Base (TCB). LDVs security policy builds on the security policy of LOCK. Its design is based on three assured pipelines for the query, update, and metadata management operations. The authors describe the security policy of LDV, its system architecture, the designs of the query processor, the update processor, the metadata manager, and the operating system issues. LDVs solutions to the inference and aggregation problems are also described.>
Paul D. Stachour, Bhavani Thuraisingham
IEEE Trans. Knowl. Data Eng.1
1989 A summary of the LDV solution to the homework problem
abstract
At the 2nd RADC Database Security Workshop the requirements for a small secure application were presented as a homework problem. This paper highlights how LDV (LOCK Data Views, a prototype trusted DBMS from Honeywell) enforces the security requirements of this application. The results were simulated on a small LDV prototype written in LISP. Rather than present LDV's whole solution to the homework problem this paper presents some of the unique security features of LDV that were used to solve the problem.>
Paul D. Stachour, Dan Thomsen
ACSAC1