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This paper presents a linguistic-based method for detecting unseen malicious traffic in proxy logs by adjusting lexical features based on word importance. The proposed method addresses the imbalance between benign and malicious traffic in actual proxy logs, improving detection accuracy by utilizing techniques such as TF, DF, and TFIDF to extract important words. Experimental results demonstrate that the method can achieve a high F-measure of 0.95 in detecting malicious traffic.

Author

Grazzy Mayambala

Language

EN