PULCinella: a general tool for propagating uncertainty in valuation networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Approximate reasoning an evidence theory
Information Sciences: an International Journal
Combining belief functions when evidence conflicts
Decision Support Systems
Axioms for probability and belief-function proagation
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Applications of Belief Functions in Business Decisions: A Review
Information Systems Frontiers
BBN-based software project risk management
Journal of Systems and Software - Special issue: Applications of statistics in software engineering
Information Security Risk Analysis
Information Security Risk Analysis
Risk analysis for information technology
Journal of Management Information Systems
Evidential reasoning for web trust assurance services
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation
Applied Soft Computing
Information security and risk management
Communications of the ACM - The psychology of security: why do good users make bad decisions?
Analyzing Software System Quality Risk Using Bayesian Belief Network
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Journal of Systems and Software
Understanding the Value of Countermeasure Portfolios in Information Systems Security
Journal of Management Information Systems
Large engineering project risk management using a Bayesian belief network
Expert Systems with Applications: An International Journal
Intelligent fault diagnosis using rough set method and evidence theory for NC machine tools
International Journal of Computer Integrated Manufacturing
A belief-function based decision support system
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Image object recognition by SVMs and evidence theory
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
An integrative study of information systems security effectiveness
International Journal of Information Management: The Journal for Information Professionals
Hybrid Kansei-SOM model using risk management and company assessment for stock trading
Information Sciences: an International Journal
Information Sciences: an International Journal
Information-based dissimilarity assessment in Dempster-Shafer theory
Knowledge-Based Systems
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Given there is a great deal of uncertainty in the process of information systems security (ISS) risk assessment, the handling of uncertainty is of great significance for the effectiveness of risk assessment. In this paper, we propose an ISS risk assessment model based on the improved evidence theory. Firstly, we establish the ISS index system and quantify index weights, based on which the evidential diagram is constructed. To deal with the uncertain evidence found in the ISS risk assessment, this model provides a new way to define the basic belief assignment in fuzzy measure. Moreover, the model also provides a method of testing the evidential consistency, which can reduce the uncertainty derived from the conflicts of evidence. Finally, the model is further demonstrated and validated via a case study, in which sensitivity analysis is employed to validate the reliability of the proposed model.