NDLI: Automated threat identification for UML

Content Provider	IEEE Xplore Digital Library
Author	Yee, George Xie, Xingli Majumdar, Shikharesh
Copyright Year	2010
Description	Author affiliation: Dept. of Systems and Computer Engineering, Carleton University, Colonel By Drive, Ottawa, Canada (Yee, George; Xie, Xingli; Majumdar, Shikharesh)
Abstract	In tandem with the growing important roles of software in modern society is the increasing number of threats to software. Building software systems that are resistant to these threats is one of the greatest challenges in information technology. Threat identification methods for secure software development can be found in the literature. However, none of these methods has involved automatic threat identification based on analyzing UML models. Such an automated approach should offer benefits in terms of speed and accuracy when compared to manual methods, and at the same time be widely applicable due to the ubiquity of UML. This paper addresses this shortcoming by proposing an automated threat identification method based on parsing UML diagrams.
Starting Page	1
Ending Page	7
File Size	452388
Page Count	7
File Format	PDF
ISBN	9789898425188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-26
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	INSTICC
Subject Keyword	Analytical models Software threat modeling Databases Object oriented modeling Unified modeling language UML Software threat identification Secure software development Software Data models Expert systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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