Security architecture for open distributed systems
Security architecture for open distributed systems
Computer communications security: principles, standard protocols and techniques
Computer communications security: principles, standard protocols and techniques
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
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The main objective of this work is to develop a methodology for risk management in a distributed system. Security is a very important issue when different users have potential access to operations of various databases of a system. There are benefits and risks involved in allowing these accesses overtime. Assuming that the probability of a user being hostile may be crisp or fuzzy is partially known, we implement fuzzy linear programming to maximize the benefits while keeping the loss under a certain fuzzy limit within the time allocation for each user. Furthermore, we develop an approach using fuzzy cognitive map to help estimate the probability of the user being hostile. In the paper, we use a specific model for simplicity in illustrating our methodology but the model can be extended to general problems of allocation of resources in a highly sensitive information distributed system such as online banking.