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Nowdays, IDS (Intrusion Detection System) is a hot topic in the information security. The main function of IDS is distinguishing and predicting normal or abnormal behaviors. This paper is to propose a model used on IDS, it is based on rough set (RS) theory and fuzzy support vector machine (FSVM). Firstly, the model set rough set as a preprocessor of FSVM. Rough set can reduce dimensions of attributes...
In this paper, a novel fuzzy support vector machine based image watermarking scheme is proposed.Since the application of support vector machine in the process of watermarking technology is only a simple classification of the image. However,the fuzzy support vector machines by selecting the appropriate degree of membership to reflect the different importance of the different sample points. In this...
Support vector machine(SVM) is sensitive to the noises and outliers in the training samples, so fuzzy support vector machine(FSVM) precede support vector machine in solving the problem of non-linearity high dimension and uncertainty. At the same time, for the practicability, the multi-class support vector machine is a good choice. In this paper, we combine the fuzzy support vector machine and multi-class...
Support vector machine is effective method for resolving non-liner classification and regression problem, but it is sensitive to the noises and outliers in the training samples. In order to overcome this problem, fuzzy support vector machine (FSVM) is introduced. How to choose a proper fuzzy membership is very important for the practical problem in FSVM. Generally, fuzzy membership is built according...
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