Extended Influence Diagram Generation

Lagerström, Robert; Johnson, Pontus; Närman, Per

doi:10.1007/978-1-84628-858-6_65

Cited by 18 publications

(10 citation statements)

References 4 publications

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“…12 The process of developing extended influence diagrams generation process. For practical techniques for the elicitation of extended influence diagrams, the reader is referred to Lagerstrom et al (2007).…”

Section: Extended Influence Diagrams For Enterprise Architecture Analmentioning

confidence: 99%

Enterprise architecture analysis with extended influence diagrams

et al. 2007

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The discipline of enterprise architecture advocates the use of models to support decision-making on enterprise-wide information system issues. In order to provide such support, enterprise architecture models should be amenable to analyses of various properties, as e.g. the level of enterprise information security. This paper proposes the use of a formal language to support such analysis. Such a language needs to be able to represent causal relations between, and definitions of, various concepts as well as uncertainty with respect to both concepts and relations. To support decision making properly, the language must also allow the representation of goals and decision alternatives. This paper evaluates a number of languages with respect to these requirements, and selects influence diagrams for further consideration. The influence diagrams are then extended to fully satisfy the requirements. The syntax and semantics of the extended influence diagrams are detailed in the paper, and their use is demonstrated in an example.

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Section: Extended Influence Diagrams For Enterprise Architecture Analmentioning

confidence: 99%

Enterprise architecture analysis with extended influence diagrams

et al. 2007

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“…The iterative process of finding variables affecting modifiability is supported by knowledge elicitation guidelines and control steps. These have been described in Lagerström et al (2009aLagerström et al ( , 2007, , Lagerström et al (2009d). The result of the iterative process is a set of goal break-down fragments.…”

Section: Methods For Creating the Qualitative Part Of The Metamodelmentioning

confidence: 97%

Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation

2010

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Enterprise architecture models can be used in order to increase the general understanding of enterprise systems and specifically to perform various kinds of analysis. The present paper proposes a metamodel for enterprise systems modifiability analysis, i.e. assessing the cost of making changes to enterprise-wide systems. The enterprise architecture metamodel is formalized using probabilistic relational models, which enables the combination of regular entity-relationship modeling aspects with means to perform enterprise architecture analysis. The content of the presented metamodel is validated based on survey and workshop data and its estimation capability is tested with data from 21 software change projects. To illustrate the applicability of the metamodel an instantiated architectural model based on a software change project conducted at a large Nordic transportation company is detailed.

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“…, m of the fusion algorithm, the combination in (17) creates an intermediate factor ψ i with domain dom(ψ i ). Then, variable X i is eliminated only from ψ i in (17). We define…”

Section: Fusionmentioning

confidence: 99%

“…It transforms defense trees [3] (an extension of attack trees with defenses attached to leaf nodes) into extended influence diagrams [17] (an extension of Bayesian networks with conjunctive and disjunctive nodes as well as countermeasures). The relationships between the nodes are encoded in conditional probability tables assigned to each node.…”

Section: Related Workmentioning

confidence: 99%

A Probabilistic Framework for Security Scenarios with Dependent Actions

Kordy

Pouly

Schweizer

2014

Lecture Notes in Computer Science

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International audienceThis work addresses the growing need of performing meaningful probabilistic analysis of security. We propose a framework that integrates the graphical security modeling technique of attack–defense trees with probabilistic information expressed in terms of Bayesian networks. This allows us to perform probabilistic evaluation of attack–defense scenarios involving dependent actions. To improve the efficiency of our computations, we make use of inference algorithms from Bayesian networks and encoding techniques from constraint reasoning. We discuss the algebraic theory underlying our framework and point out several generalizations which are possible thanks to the use of semiring theory

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Extended Influence Diagram Generation

Cited by 18 publications

References 4 publications

Enterprise architecture analysis with extended influence diagrams

Enterprise architecture analysis with extended influence diagrams

Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation

A Probabilistic Framework for Security Scenarios with Dependent Actions

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