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Earlier the model suggested was much generalized and simple. It was lacking in clarity about the functioning of its components, which made it difficult to be implemented. In this paper an improved model for the security policy framework is suggested, in which functioning of each component and there interconnectivity is explained clearly. The fitness functions for the system and which parameter can...
A genetic algorithm based policy management system judges the validity of network events according to the rules defined in the rule base. These rules are either IP addresses or combination of IP address and some other parameters, such as port numbers etc. This paper discusses the design and benefits of rule base which is based on finite state machines. Since whenever a new network event comes, the...
Discretization of continuous valued features is an important problem to consider during classification learning. There already exist a number of successful discretization techniques based on LVQ algorithm. In this paper, we have approached the problem of discretization from a different angle, and have proposed an algorithm based on optimization of Learning Vector Quantization (LVQ) with Genetic Algorithm...
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