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Author Solhaug, Bjørnar ♦ Seehusen, Fredrik
Source SpringerLink
Content type Text
Publisher Springer Berlin Heidelberg
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Risk analysis ♦ Security ♦ Interdependencies ♦ Evolution ♦ Critical infrastructures ♦ Incident preparedness ♦ ATM ♦ Computational Intelligence ♦ Artificial Intelligence (incl. Robotics) ♦ Robotics and Automation ♦ User Interfaces and Human Computer Interaction
Abstract The protection and security of critical infrastructures are important parts of Homeland Defense. Adequate means for analyzing the security risks of such infrastructures is a prerequisite for properly understanding the security needs and for maintaining appropriate incident preparedness. Risk management is coordinated activities to direct and control an organization with regard to risk, and includes the identification, analysis and mitigation of unacceptable risks. For critical infrastructures consisting of interdependent systems, risk analysis and mitigation is challenging because the overall risk picture may be strongly affected by changes in only a few of the systems. In order to continuously manage risks and maintain an adequate level of protection, there is a need to continuously maintain the validity of risk models while systems change and evolve. This paper addresses these challenges by presenting an approach to model-driven security risk analysis of changing and evolving systems. The approach is a tool-supported method with techniques and modeling support for traceability of system changes to risk models, as well as the explicit modeling of the impact of changes on the current risk picture. The presented artifacts are exemplified and validated in the domain of air traffic management.
ISSN 18685137
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-02-27
Publisher Place Berlin, Heidelberg
e-ISSN 18685145
Journal Journal of Ambient Intelligence and Humanized Computing
Volume Number 5
Issue Number 2
Page Count 18
Starting Page 187
Ending Page 204

Source: SpringerLink