A Multi-Target Synthetic Assessment Approach for Information Systems Security Risk

Nan Feng; Jing Xie; Ying Xin Wu

doi:10.4028/www.scientific.net/AMM.121-126.3726

Paper Titles

A Construction Method of Surface Modeling Based on CAID Software
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A Dual-Population GA Based Visual Identification with Model Matching
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Research on BLDCM Speed Control System Based on MFNN-PID Control Method
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A Multi-Hop Grouping Scheme for Assisting Handoff Procedure in Vehicular Networks
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A Multi-Target Synthetic Assessment Approach for Information Systems Security Risk
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A New Cost Allocation Approach on One Machine Sequencing Games
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A Novel Approach of Detector Generation for Real-Valued Negative Selection Algorithm
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A Novel Improved Web Structure Mining Algorithm
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A Novel Method Based on Clustering Algorithm and SVM for Anomaly Intrusion Detection of Wireless Sensor Networks
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126A Multi-Target Synthetic Assessment Approach for...

A Multi-Target Synthetic Assessment Approach for Information Systems Security Risk

Abstract:

Increasing organizational dependence on the IS has led to a corresponding increase in the impact of information systems security (ISS) abuses. In this paper, we propose a multi-target synthetic assessment approach for ISS risk based on neural network. Firstly, an assessment system of ISS risk is established. Secondly, a trained neural network can endue the assessment approach with expert assessment knowledge in the way of joint weight, through its learning and adapting capability. Finally, the approach is capable to simulate expert assessment method by verifying the data of ISS risk assessment.