Statistical Analysis of Network Traffic Techniques Using ML &Deep Learning Algorithms
Keywords:
Network traffic, Machine learning, deep learning, anova one wayAbstract
The article is under the relationship of network traffic and using ML with deep learning for crucial for the classification of network traffic. This can help with lawful interceptions, maintain service quality, avoid identify characters. Furthermore, it exits the organization characterization strategies, for example, port-put together recognizable proof and those based with respect to profound bundle examination, factual elements related to AI, and profound learning calculations. In addition, we describe the applications, benefits, and drawbacks of these methods. Datasets used in the literature are also included in our analysis. Furthermore, we discussed about upcoming research directions as well as current and upcoming difficulties by using once way anova classification for the validity of the model.
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