Search Results for author: Mahesh Shirole

Found 1 papers, 1 papers with code

Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives

1 code implementation13 Nov 2018 Abhishek Divekar, Meet Parekh, Vaibhav Savla, Rudra Mishra, Mahesh Shirole

Applying the SMOTE oversampling technique and random undersampling, we create a balanced version of NSL-KDD and prove that skewed target classes in KDD-99 and NSL-KDD hamper the efficacy of classifiers on minority classes (U2R and R2L), leading to possible security risks.

Benchmarking Network Intrusion Detection

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