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Improving the Classification of Security Patterns

Authors: Hironori Washizaki; Eduardo B. Fernández; Katsuhisa Maruyama; Atsuto Kubo; Nobukazu Yoshioka;

Improving the Classification of Security Patterns

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.

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    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
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