"Category-Based Intrusion Detection Using PCA"
written by Gholam Reza Zargar, Tania Baghaie,
published by Journal of Information Security, Vol.3 No.4, 2012
has been cited by the following article(s):
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[8] Intrusion detection in RFID system using computational intelligence approach for underground mines
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[11] Research on Translation and Rotation in Handwritten Digits Recognition
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[12] Improving intrusion detection using a novel normalization method along with the use of harmony search algorithm for feature selection
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[13] Study of stochastic and machine learning techniques for anomalybased web attack detection
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[14] Network intrusion detection system using J48 Decision Tree
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[15] Detection and Containment the Attack that Leads to a Denial of Service Attack
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[16] Study of stochastic and machine learning tecniques for anomaly-based Web atack detection
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[17] Feature Based Unsupervised Intrusion Detection
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[19] 基于流的大规模网络安全态势感知关键技术研究
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[21] Intrusion Detection System Using Data Mining Technique: Support Vector Machine
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[22] Intrusion Detection System Based on K-Star Classifier and Feature Set Reduction
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[23] Network backbone anomaly detection using double random forests based on non-extensive entropy feature extraction
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[24] IDS in Telecommunication Network Using PCA
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[25] 基于改进非广延熵特征提取的双随机森林实时入侵检测方法
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[26] 主成分分析を用いた分類器による SQL インジェクション攻撃の自動検出法
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[27] Improving performance of support vector machine for intrusion detection using discretization
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