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Misuse detection
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#	Item
1	Making Counting Decisions Use/Misuse of Sample Statistics John Doroski Pat Donahue Indian Pont, Entergy Add to Reading List Source URL: hps.ne.uiuc.edu Language: English - Date: 2014-06-17 11:45:22 Radioactivity Statistical inference Analytical chemistry Detection limit Hypothesis testing Ionizing radiation Statistical hypothesis testing Background radiation Radiation Statistics Science Measurement
2	Outside the Closed World: On Using Machine Learning For Network Intrusion Detection Robin Sommer International Computer Science Institute, and Lawrence Berkeley National Laboratory Add to Reading List Source URL: www.icir.org Language: English - Date: 2010-03-05 21:14:30 Computer security Data mining Statistics Spamming Anomaly detection Intrusion detection system Network intrusion detection system Misuse detection Snort Computer network security Data security Computing
3	Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation Dae-Ki Kang1 , Doug Fuller2 , and Vasant Honavar1 1 Artiﬁcial Intelligence Lab, Department of Computer Science, Iowa State Universi Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-08-08 19:37:58 Computer vision Anomaly detection Intrusion detection system Misuse detection Synthetic data Feature Receiver operating characteristic Statistics Data security Data mining
4	Learning Classifiers for Misuse and Anomaly Detection Using a Bag of System Calls Representation Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-26 18:38:00 Data mining Anomaly detection Misuse detection Intrusion detection system Synthetic data Host-based intrusion detection system Feature Information Data security Statistics Information technology management
5	Politecnico di Milano Dip. Elettronica e Informazione Milano, Italy Anomaly detection through system call argument analysis Add to Reading List Source URL: www.s0ftpj.org Language: English - Date: 2006-07-14 18:58:00 Cyberwarfare Computing Anomaly detection Data mining Intrusion detection system Misuse detection Anomaly-based intrusion detection system Bro Intrusion detection system evasion techniques Computer network security Computer security Data security
6	Politecnico di Milano Dip. Elettronica e Informazione Milano, Italy Detecting 0-day attacks with Add to Reading List Source URL: www.s0ftpj.org Language: English - Date: 2007-01-25 16:48:54 Computer security Intrusion detection system Anomaly detection Misuse detection Burglar alarm Intrusion detection system evasion techniques OSSIM Security Data security Computer network security
7	Using Generalization and Characterization Techniques in the Anomaly-based Detection of Web Attacks William Robertson, Giovanni Vigna, Christopher Kruegel, and Richard A. Kemmerer Reliable Software Group Department of Com Add to Reading List Source URL: www.isoc.org Language: English - Date: 2006-02-10 13:37:55 Data mining Anomaly detection Intrusion detection system Computer security Anomaly Misuse detection Outlier Anomaly-based intrusion detection system Statistics Data security Data analysis
8	Microsoft Word - CamposMilenovaICDM05_8pages.doc Add to Reading List Source URL: www.oracle.com Language: English Cross-platform software Relational database management systems Statistics Database management systems Oracle Data Mining Anomaly detection Intrusion detection system Misuse detection Oracle RAC Software Data security Computing
9	IDS製品調査 [removed] 不正アクセス検知の分類 • 不正検知(Misuse Detection) Add to Reading List Source URL: www.npa.go.jp Language: Japanese
10	ARTICLE IN PRESS Computer Networks xxx[removed]xxx–xxx www.elsevier.com/locate/comnet A multi-model approach to the detection of web-based attacks Add to Reading List Source URL: www.cs.ucsb.edu Language: English - Date: 2005-05-30 18:56:39 Information technology management Computing Anomaly detection Data mining Data modeling Query string Misuse detection Database Intrusion detection system Data security Database theory Data management

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