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Normal Distribution curves plotted against the dataset In order to work with this heavily skewed and non-linear dataset for extracting (or) creating the informative and non-redundant features, "t-Distributed Stochastic Neighbor Embedding (t-SNE) technique is applied." The t-SNE visualization of the NSL-KDD dataset is visualized in figure 7 below.

Normal Distribution curves plotted against the dataset In order to work with this heavily skewed and non-linear dataset for extracting (or) creating the informative and non-redundant features, "t-Distributed Stochastic Neighbor Embedding (t-SNE) technique is applied." The t-SNE visualization of the NSL-KDD dataset is visualized in figure 7 below.

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Figure 2. Boxplots
Figure 4. Heatmap visualization
Figure 6. Normal Distribution curves plotted against the dataset In...
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The development of Internet technology has led to its services being consumed at a rapid pace. To serve mankind at large without information security issues arising from these services the networks are regularly monitored for various attacks. Specifically, the packet flow data on the network is monitored for detecting anomalous packets wrongfully g...
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... records are not following normal distribution. Their plots are rather seemed to be unconventionally exponential which are visualized in figure 6 below. The above visualization of the normal and anomalous records specify that the distribution of normal and anomalous data points share the same reduced dimensional space. ...

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