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- W2519885989 abstract "It is widely accepted that modern computer networks (often presented as a heterogeneous collection of functioning organisations, applications, software, and hardware) contain vulnerabilities. This paper proposes a new methodology to compute a dynamic severity cost for each state. Here a state refers to the behaviour of a system during an attack, an example of a state is where an attacker could influence the information on an application to alter the credentials. This is performed by utilising a modified variant of the Common Vulnerability Scoring System (CVSS), referred to as a Dynamic Vulnerability Scoring System (DVSS). This calculates scores of intrinsic, time-based, and ecological metrics by combining related sub-scores and modelling the problem's parameters into a mathematical framework to develop a unique severity cost. The individual static nature of CVSS affects the scoring value, so the author has adapted a novel model to produce a DVSS metric that is more precise and efficient. In this approach, different parameters are used to compute the final scores determined from a number of parameters including network architecture, device setting, and the impact of vulnerability interactions. The interactions between vulnerabilities are considered and dynamic impact metric is developed, which can be seen as a baseline between the static metric and the interaction between the exposures." @default.
- W2519885989 created "2016-09-23" @default.
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- W2519885989 date "2015-12-01" @default.
- W2519885989 modified "2023-09-26" @default.
- W2519885989 title "A Methodology to Develop Dynamic Cost-Centric Risk Impact Metrics" @default.
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- W2519885989 doi "https://doi.org/10.1109/dese.2015.9" @default.
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