A Graphical Approach to Risk Identification, Motivated by Empirical Investigations
Author(s) -
Ida Hogganvik,
Ketil Stølen
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-45772-0
DOI - 10.1007/11880240_40
Subject(s) - brainstorming , computer science , field (mathematics) , risk analysis (engineering) , identification (biology) , empirical research , risk management , data science , order (exchange) , graphical model , artificial intelligence , finance , medicine , philosophy , botany , mathematics , epistemology , pure mathematics , economics , biology
We propose a graphical approach to identify, explain and document security threats and risk scenarios. Security risk analysis can be time consuming and expensive, hence, it is of great importance that involved parties quickly understand the risk picture. Risk analysis methods often make use of brainstorming sessions to identify risks, threats and vulnerabilities. These sessions involve system users, developers and decision makers. They typically often have completely different backgrounds and view the system from different perspectives. To facilitate communication and understanding among them, we have developed a graphical approach to document and explain the overall security risk picture. The development of the language and the guidelines for its use have been based on a combination of empirical investigations and experiences gathered from utilizing the approach in large scale industrial field trials. The investigations involved both professionals and students, and each field trial was in the order of 250 person hours.
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