scholarly journals Security Risk Assessment: Towards a Justification for the Security Risk Factor Table Model

2015 ◽  
Vol 19 (5) ◽  
pp. 676-680
Author(s):  
Beverly Rivera ◽  
◽  
Francisco Zapata ◽  
Vladik Kreinovich ◽  
Keyword(s):  
Risk Assessment ◽  
Risk Factor ◽  
Theoretical Explanation ◽  
Security Risk ◽  
Table Model ◽  
Security Risk Assessment

One of the widely used methods to gauge risk is the Security Risk Factor Table (SRFT) model. While this model has been empirically successful, its use is limited by the fact that its formulas do not have a theoretical explanation – and thus, there is no guarantee that these formulas will work in other situations as well. In this paper, we provide a theoretical explanation for the SFRT formulas.

scholarly journals A new lightweight method for security risk assessment based on fuzzy cognitive maps

2014 ◽  
Vol 24 (1) ◽  
pp. 213-225 ◽  
Author(s):  
Piotr Szwed ◽  
Paweł Skrzyński
Keyword(s):  
Risk Assessment ◽  
Data Storage ◽  
Low Cost ◽  
Cognitive Maps ◽  
Assessment Method ◽  
Lessons Learned ◽  
Fuzzy Cognitive Maps ◽  
Software Systems ◽  
Security Risk ◽  
Security Risk Assessment

Abstract For contemporary software systems, security is considered to be a key quality factor and the analysis of IT security risk becomes an indispensable stage during software deployment. However, performing risk assessment according to methodologies and standards issued for the public sector or large institutions can be too costly and time consuming. Current business practice tends to circumvent risk assessment by defining sets of standard safeguards and applying them to all developed systems. This leads to a substantial gap: threats are not re-evaluated for particular systems and the selection of security functions is not based on risk models. This paper discusses a new lightweight risk assessment method aimed at filling this gap. In this proposal, Fuzzy Cognitive Maps (FCMs) are used to capture dependencies between assets, and FCM-based reasoning is performed to calculate risks. An application of the method is studied using an example of an e-health system providing remote telemonitoring, data storage and teleconsultation services. Lessons learned indicate that the proposed method is an efficient and low-cost approach, giving instantaneous feedback and enabling reasoning on the effectiveness of the security system.

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