B. Padmavathi1,2,*, B. Muthukumar3
Computer Systems Science and Engineering, Vol.43, No.1, pp. 119-139, 2022, DOI:10.32604/csse.2022.021431
Abstract Capturing the distributed platform with remotely controlled compromised machines using botnet is extensively analyzed by various researchers. However, certain limitations need to be addressed efficiently. The provisioning of detection mechanism with learning approaches provides a better solution more broadly by saluting multi-objective constraints. The bots’ patterns or features over the network have to be analyzed in both linear and non-linear manner. The linear and non-linear features are composed of high-level and low-level features. The collected features are maintained over the Bag of Features (BoF) where the most influencing features are collected and provided into the classifier model. Here, the linearity… More >
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