Automating Risk Analysis of Software Design Models
Joint Authors
Frydman, Maxime
Ruiz, Guifré
Heymann, Elisa
César, Eduardo
Miller, Barton P.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The growth of the internet and networked systems has exposed software to an increased amount of security threats.
One of the responses from software developers to these threats is the introduction of security activities in the software development lifecycle.
This paper describes an approach to reduce the need for costly human expertise to perform risk analysis in software, which is common in secure development methodologies, by automating threat modeling.
Reducing the dependency on security experts aims at reducing the cost of secure development by allowing non-security-aware developers to apply secure development with little to no additional cost, making secure development more accessible.
To automate threat modeling two data structures are introduced, identification trees and mitigation trees, to identify threats in software designs and advise mitigation techniques, while taking into account specification requirements and cost concerns.
These are the components of our model for automated threat modeling, AutSEC.
We validated AutSEC by implementing it in a tool based on data flow diagrams, from the Microsoft security development methodology, and applying it to VOMS, a grid middleware component, to evaluate our model's performance.
American Psychological Association (APA)
Frydman, Maxime& Ruiz, Guifré& Heymann, Elisa& César, Eduardo& Miller, Barton P.. 2014. Automating Risk Analysis of Software Design Models. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1051110
Modern Language Association (MLA)
Frydman, Maxime…[et al.]. Automating Risk Analysis of Software Design Models. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1051110
American Medical Association (AMA)
Frydman, Maxime& Ruiz, Guifré& Heymann, Elisa& César, Eduardo& Miller, Barton P.. Automating Risk Analysis of Software Design Models. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1051110
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051110