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Improved multilevel security with latent semantic indexing

: Thorleuchter, Dirk; Poel, Dirk van den

Preprint urn:nbn:de:0011-n-2159845 (269 KByte PDF)
MD5 Fingerprint: 5cf4077d0e9ac153407d2c6ec1e460b0
Created on: 9.11.2012

Expert Systems with Applications 39 (2012), No.18, pp.13462-13471
ISSN: 0957-4174
Journal Article, Electronic Publication
Fraunhofer INT ()
information security; text mining; data protection; decision support; multilevel security

Multilevel security (MLS) is specifically created to protect information from unauthorized access. In MLS, documents are assigned to a security label by a trusted subject e.g. an authorized user and based on this assignment; the access to documents is allowed or denied. Using a large number of security labels lead to a complex administration in MLS based operating systems. This is because the manual assignment of documents to a large number of security labels by an authorized user is time-consuming and error-prone. Thus in practice, most MLS based operating systems use a small number of security labels. However, information that is normally processed in an organization consists of different sensitivities and belongs to different compartments. To depict this information in MLS, a large number of security labels is necessary.
The aim of this paper is to show that the use of latent semantic indexing is successful in assigning textual information to security labels. This supports the authorized user by his manual assignment. It reduces complexity by the administration of a MLS based operating system and it enables the use of a large number of security labels. In future, the findings probably will lead to an increased usage of these MLS based operating systems in organizations.