Improving the classification of security patterns

Hironori Washizaki, Eduardo B. Fernandez, Katsuhisa Maruyama, Atsuto Kubo, Nobukazu Yoshioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

There are a large number of security patterns encapsulating reusable solutions to recurrent security problems. However, catalogs of security patterns are not enough because the designer does not know when and where to apply them, especially in a large complex system. There is a need to conduct more precise classifications of security patterns. We analyze here ways to represent security patterns using specialized models for their precise classification. We define two new types of models, one that describes how a security pattern relates to several classification dimensions (Dimension Graph), and another that describes how security patterns relate to each other (Pattern Graphs). We show these ideas with examples from security patterns.

Original languageEnglish
Title of host publicationProceedings - 20th International Workshop on Database and Expert Systems Applications, DEXA2009
Pages165-170
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
Event20th International Workshop on Database and Expert Systems Applications, DEXA2009 - Linz, Austria
Duration: 2009 Aug 312009 Sep 4

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
ISSN (Print)1529-4188

Conference

Conference20th International Workshop on Database and Expert Systems Applications, DEXA2009
CountryAustria
CityLinz
Period09/8/3109/9/4

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Washizaki, H., Fernandez, E. B., Maruyama, K., Kubo, A., & Yoshioka, N. (2009). Improving the classification of security patterns. In Proceedings - 20th International Workshop on Database and Expert Systems Applications, DEXA2009 (pp. 165-170). [5337198] (Proceedings - International Workshop on Database and Expert Systems Applications, DEXA). https://doi.org/10.1109/DEXA.2009.79