Toward a multilevel secure relational data model
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Database security
Formal query languages for secure relational databases
ACM Transactions on Database Systems (TODS)
Asserting beliefs in MLS relational models
ACM SIGMOD Record
Entity Modeling in the MLS Relational Model
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
The semantics and expressive power of the MLR data model
SP '95 Proceedings of the 1995 IEEE Symposium on Security and Privacy
An introduction to multilevel secure relational database management systems
CASCON '04 Proceedings of the 2004 conference of the Centre for Advanced Studies on Collaborative research
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Multilevel secure (MLS) database systems are database systems that provide several clearance security levels for users. The clearance levels are attached to each attribute and also attached to tuples. According to current literatures, users whose clearance level is equal to or higher than the clearance level of the data items can read them. Users may write facts and the facts are then accessed by users whose clearance level is higher than or equal to the one who writes. These read and write properties are according to the classic simple security properties proposed by Bell and La Padula. At present, most MLS research works are based on the relational database model. This work intends to create an MLS database system for an intelligence organization. There are many user levels range from Top to Public. Top officers not only would like to see facts entered by lower-level officers but also would like to enter facts to users with different clearance levels under them. Thus write down operations must be allowed.