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Chen-Jen Nee

dblp:68/5802 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1979
—ORCID · none

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

Software engineering, systems software and programming languages · 1

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.

Network and information security
1 paper
Authentication and access control · 100%
Databases, data mining, and information retrieval
1 paper
Database theory · 77% Database system architecture and tuning · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Authentication and access control
access control
0.011979
Database Access Control in the Presence of Context Dependent Protection Requirement · IEEE Trans. Software Eng. 1979
Authentication and access control › access control
context-aware access control
0.011979
Database Access Control in the Presence of Context Dependent Protection Requirement · IEEE Trans. Software Eng. 1979
Database system architecture and tuning
database security
0.011979
Database Access Control in the Presence of Context Dependent Protection Requirement · IEEE Trans. Software Eng. 1979

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

graph theory · 0.0
YearPublicationVenuePosition
1979 Database Access Control in the Presence of Context Dependent Protection Requirement
abstract
Data items in a database are semantically related. Thus, the access control mechanism of a database system must be concerned with the possibility that access to one item may violate a denied access to another item. This study concentrates on two basic semantic relations for protection requirements. By utilizing a graph-theoretic approach, some of the fundamental properties of the protection relations can be readily identified. These properties can then be used as a basis for understanding more general context dependent protection requirements. Two fundamental properties of the two protection relations are found. The first property addresses the question: given a database with a set of protection relations, is it possible to find a maximal subset of the database such that access to one item of the subset will not lead to any violation of a denied access to another item? The second property addresses the question: given a database with a set of protection relations, is it possible to find a sequence of accesses such that the protection requirement is enforced with no violation?
David K. Hsiao, Douglas S. Kerr, Chen-Jen Nee
IEEE Trans. Software Eng.3