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Threat Tree Templates to Ease Difficulties in Threat Modeling

Authors: Ikuya Morikawa; Yuji Yamaoka;

Threat Tree Templates to Ease Difficulties in Threat Modeling

Abstract

Threat trees are notable tools in the security analysis process called "threat modeling"'. The trees are used to identify how and under what condition threats can be realized, which will help proper estimation of risks and planning of countermeasures. However, it is difficult for an average analyst to construct adequate trees, because security expertise, particularly from an attacker's perspective, is required to find potential attack scenarios. In this paper, we propose threat tree templates to help non-expert analysts to construct threat trees. Each template is a redundant threat tree, loaded with branches representing many possible attack scenarios, as well as typical examples of corresponding vulnerabilities and countermeasures against such attacks. We also propose a keyword system for the templates, designed to filter out irrelevant scenarios.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
16
Top 10%
Top 10%
Average
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