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Enhance Wireless Network Security with SBR Prediction by Shrikant Urane is a document available to read on EtoBox.

This paper proposes a hybrid sampling approach to improve the prediction of security bug reports (SBRs) across different software projects, addressing the low performance of existing methods. The approach combines text similarity and uncertainty-sampling techniques, resulting in significant improvements in classification metrics such as Recall, Precision, F1-score, and AUC. Experiments conducted on ten publicly available datasets demonstrate the effectiveness of this method in enhancing wireless network sec

Author

Shrikant Urane

Language

EN