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Security and Communication Networks
Article . 2012 . Peer-reviewed
License: Wiley Online Library User Agreement
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Article . 2014
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Unified threat model for analyzing and evaluating software threats

Authors: Xiaohong Li 0001; Ke He; Zhiyong Feng 0002; Guangquan Xu;

Unified threat model for analyzing and evaluating software threats

Abstract

ABSTRACTDesign‐level vulnerabilities are a major source of security problems in software programs. For the purpose of improving the trustworthiness of software designs, this paper presents a unified threat model for representing, analyzing, and evaluating software threats at various design stages. Unified threat models represent software threats via tree structures with AND/OR logical relationships and evaluates software threats in a cost‐effective way based on attack paths. Mitigation measures for software threats are designed and prioritized based on the evaluation results, which make it possible to design high‐quality software security programs that resist identified software threats. A case study for an online banking system is given to systematically demonstrate the application of unified threat models in software threat analysis and evaluation. The results from the case study demonstrate that the unified threat model is superior to traditional threat trees in accurately evaluating results, designing mitigation measures, and guiding software security testing. Copyright © 2012 John Wiley & Sons, Ltd.

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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!
5
Average
Average
Average
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