On this paper, we present the outcomes of our experiments to evaluate the performance of detecting special Sorts of attacks (e.g., IDS, Malware, and Shellcode). We examine the recognition performance by making use of the Random Forest algorithm to the numerous datasets which are evaluated from the Kyoto 2006+ dataset, which is the recent network packet information accumulated for developing Intrusion Detection Systems. And we conclude with discussions and future studies projects.
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Unique Paper ID: 157368
Publication Volume & Issue: Volume 9, Issue 6
Page(s): 740 - 745
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