SELECTING FEATURES FOR INTRUSION DETECTION: A FEATURE RELEVANCE ANALYSIS ON KDD 99 INTRUSION DETECTION DATASETS

KAYACIK, H.G., ZINCIR HEYWOOD, A.N., & HEYWOOD, M.I.. (2005). SELECTING FEATURES FOR INTRUSION DETECTION: A FEATURE RELEVANCE ANALYSIS ON KDD 99 INTRUSION DETECTION DATASETS. PROCEEDINGS OF THE ANNUAL CONFERENCE ON PRIVACY, SECURITY AND TRUST, -(3), 0-0. SID. https://sid.ir/paper/649801/en

KAYACIK H.G., ZINCIR HEYWOOD A.N., HEYWOOD M.I.. SELECTING FEATURES FOR INTRUSION DETECTION: A FEATURE RELEVANCE ANALYSIS ON KDD 99 INTRUSION DETECTION DATASETS. PROCEEDINGS OF THE ANNUAL CONFERENCE ON PRIVACY, SECURITY AND TRUST[Internet]. 2005;-(3):0-0. Available from: https://sid.ir/paper/649801/en

H.G. KAYACIK, A.N. ZINCIR HEYWOOD, and M.I. HEYWOOD, “SELECTING FEATURES FOR INTRUSION DETECTION: A FEATURE RELEVANCE ANALYSIS ON KDD 99 INTRUSION DETECTION DATASETS,” PROCEEDINGS OF THE ANNUAL CONFERENCE ON PRIVACY, SECURITY AND TRUST, vol. -, no. 3, pp. 0–0, 2005, [Online]. Available: https://sid.ir/paper/649801/en