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Anomaly detection
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#	Item
291	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
292	Deploying Statistical Anomaly Detection to Improve Cyber Security Dr. Greg Shannon Chief Scientist [removed] Add to Reading List Source URL: www.ioc.ornl.gov Language: English - Date: 2009-01-21 12:09:36 Anomaly detection Computer security Computing Anomaly Botnet Information technology management Physics Network Behavior Anomaly Detection Data mining Data security Computer network security
293	Deploying Statistical Anomaly Detection to Improve Cyber Security: Strategy, Benefits, and Results Dr. Greg Shannon, Chief Scientist, CounterStorm, Inc. There will always be new vulnerabilities in the information network Add to Reading List Source URL: www.ioc.ornl.gov Language: English - Date: 2007-05-11 16:57:20 Security Data security Hacking Secure communication Intrusion detection system Vulnerability Network security Attack Anomaly detection Cyberwarfare Computer security Computer network security
294	A Comparative Study of Two Network-based Anomaly Detection Methods Kaustubh Nyalkalkar∗ , Sushant Sinha† , Michael Bailey∗ and Farnam Jahanian∗ ∗ Electrical Engineering and Computer Science, University of Mich Add to Reading List Source URL: mdbailey.ece.illinois.edu Language: English - Date: 2014-08-05 13:28:21 Computer network security Data analysis Anomaly detection Data security Wavelet Principal component analysis Denial-of-service attack Anomaly Change detection Statistics Data mining Multivariate statistics
295	Data Driven Investigation of Faults in HVAC Systems with Model, Cluster and Compare (MCC) Balakrishnan Narayanaswamy† , Bharathan Balaji† , Rajesh Gupta† , Yuvraj Agarwal†‡ † University ‡ Carnegie Add to Reading List Source URL: www.synergylabs.org Language: English - Date: 2014-09-25 23:16:25 Systems theory Geology Control theory Systems engineering Building automation Variable air volume Anomaly detection Thermostat Control system Heating ventilating and air conditioning Science Mechanical engineering
296	OGLE2008BLG510: first automated realtime detection of a weak microlensing anomaly brown dwarf or stellar binary? Add to Reading List Source URL: www.danidl.co.uk Language: English - Date: 2015-02-22 07:28:16 Space Exoplanetology Sagittarius constellation Astronomical surveys Extrasolar planets Gravitational microlensing RoboNet Optical Gravitational Lensing Experiment Microlensing Observations in Astrophysics Astronomy Planetary science Gravitational lensing
297	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
298	Nuts and Bolts of Data Mining: The Histogram By Tim Graettinger Practitioners, business users, developers, and academics love new data mining tools and methods. And yet, successful data mining requires much more than pow Add to Reading List Source URL: www.discoverycorpsinc.com Language: English - Date: 2012-06-18 18:52:40 Data analysis Histogram Mode Frequency distribution Outlier Plot RANSAC Anomaly detection Statistics Summary statistics Robust statistics
299	Analysis Guided Visual Exploration of Multivariate Data Di Yang∗ Elke A. Rundensteiner† Matthew O. Ward‡§ Add to Reading List Source URL: davis.wpi.edu Language: English - Date: 2007-07-30 11:14:40 Data mining Data analysis Information retrieval Infographics Cluster analysis VisIt Collaborative filtering BIRCH Anomaly detection Statistics Science Information science
300	A Mixture of Experts Approach to Automating Anomaly Detection in Geodetic Data Robert Granat, Sharon Kedar, Jay Parker Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA Marlon Pierce, Jun Wang Add to Reading List Source URL: sceccore.usc.edu Language: English - Date: 2012-08-31 20:57:18 Data security Geodesy Surveying Avionics Anomaly detection Global Positioning System Technology Military science Navigation

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