PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Mathematical Framework for Risk Assessment
Marco Benini and Sabrina Sicari
New Technologies, Mobility and Security pp. 459-469, 2007.

Abstract

Risk assessment is an important step in the development of a secure system: its goal is to identify the possible threats to a system, their impact and, henceforth, to evaluate the connected risks. Although several systematic approaches have been developed to perform a risk assessment task, the current methodologies rely on the quantitative evaluations of experts in a substantial way. This paper addresses the problem of detaching the methodology results from the subjective judgements of experts, by formalising a risk assessment methodology in an appropriate mathematical framework that reduces the subjective aspects in experts’ evaluations

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:5234
Deposited By:Marco Benini
Deposited On:24 March 2009