Artificial Intelligence Applications for Risk Analysis, Risk Prediction and Decision Making in Disaster Recovery Planning

Masoud Mohammadian (1)

1 Faculty of Information Sciences and Engineering

Development and management of disaster recovery plan for IT systems are complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment to disaster recovery plans for IT systems. There are a large number of processes involved in disaster recovery planning for IT system. The interdependencies of these processes make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of effect of inefficiencies that may exist in development of these processes in the disaster recovery plan of their organization. This paper considers the implementation of a Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in implementing a disaster recovery plan for IT systems and their related processes to improve the understanding of CIOs about the systems and its associated risks.

Mots clés: Fuzzy Cognitive Maps; Disaster Recovery Planning; Risk Analysis; Monitoring; Scenario Analysis; Decision Making

Domaines: Informatique [cs]

Masoud Mohammadian. Artificial Intelligence Applications for Risk Analysis, Risk Prediction and Decision Making in Disaster Recovery Planning. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.155-165, ⟨10.1007/978-3-642-33412-2_16⟩. ⟨hal-01523070⟩