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Anomaly detection
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461	JUNE[removed]Detecting and Handling Anomalous Data in M4D Combined Report CONTENT Add to Reading List Source URL: www.espon.eu Language: English - Date: 2013-04-07 06:16:39 Anomaly detection Data mining Spatial analysis Data set Quartile Principal component analysis Regression analysis Data quality Plot Statistics Data analysis Outlier
462	W H I T E PA P E R VeriSign® Identity Protection Fraud Detection Service An Overview Add to Reading List Source URL: www.complianceandprivacy.com Language: English - Date: 2007-03-03 10:21:37 Fraud Social engineering Payment systems Authentication Notary Credit card fraud Anomaly detection Risk-based authentication Identity theft Security Cryptography Access control
463	Design and Implementation of an Anomaly Detection System: an Empirical Approach Gaia Maselli Dipartimento di Informatica University of Pisa Via Buonarroti 2 Add to Reading List Source URL: luca.ntop.org Language: English - Date: 2008-12-17 19:32:02 Data Denial-of-service attacks Internet protocols Cyberwarfare Denial-of-service attack Internet Relay Chat Transmission Control Protocol Internet protocol suite Traffic flow Computing Computer network security Internet
464	Tracking Down Software Bugs Using Automatic Anomaly Detection Sudheendra Hangal Sun Microsystems India Pvt. Ltd. Divyasree Chambers, Shantinagar Bangalore[removed] Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2008-04-06 00:41:04 Software testing Software bugs Procedural programming languages Daikon Debugging Invariant Assertion Type safety Exception handling Software engineering Computing Computer programming
465	Network Intrusion Detection and Alert Correlation Xiaosong Lou and Ying Chen, {xlou, chen2}@usc.edu Stop Intrusion Before It Completes Collaborative Intrusion Detection with Add to Reading List Source URL: gridsec.usc.edu Language: English - Date: 2005-08-30 20:28:11 Computing Intrusion detection system Intrusion prevention system Alert correlation Snort Anomaly detection ACARM-ng Sguil Computer network security System software Software
466	A Distributed Intrusion Detection Prototype using Security Agents V. Chatzigiannakis, G. Androulidakis, M. Grammatikou, B. Maglaris Network Management & Optimal Design Lab (NETMODE), ECE Department – National Technical Add to Reading List Source URL: www.netmode.ntua.gr Language: English - Date: 2004-05-28 14:14:29 Software Computer security Data security Intrusion detection system System administration AAFID Anomaly detection Snort Misuse detection Computer network security Computing System software
467	Call for Papers Special Issue on: "Machine Learning and Pattern Recognition Models for Change Add to Reading List Source URL: www.djamel-bouchaffra.info Language: English - Date: 2014-04-13 05:38:26 Data security Image processing Change detection Science Fault detection and isolation Segmentation Pattern recognition Video content analysis Knowledge Statistics Anomaly detection Data mining
468	Mining Audit Data to Build Intrusion Detection Models∗ Wenke Lee and Salvatore J. Stolfo and Kui W. Mok Computer Science Department Columbia University 500 West 120th Street, New York, NY 10027 {wenke,sal,mok}@cs.colum Add to Reading List Source URL: ids.cs.columbia.edu Language: English - Date: 2011-09-04 10:44:35 Data Association rule learning Intrusion detection system Anomaly detection Computer-aided audit tools Statistical classification Communications protocol Data mining Statistics Information
469	ISSN (Print) : 2320 – 3765 ISSN (Online): 2278 – 8875 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Add to Reading List Source URL: www.ijareeie.com Language: English - Date: 2013-11-25 04:53:24 Image processing Computer vision Cluster analysis Geostatistics ECognition Synthetic aperture radar Change detection Segmentation Anomaly detection Statistics Data mining Machine learning
470	Smart Cities Scalable Anomaly Detection for Smart City Infrastructure Networks Dynamically detecting anomalies can be difficult in very large-scale Add to Reading List Source URL: exascale.info Language: English - Date: 2013-12-05 08:51:39 Anomaly detection Geographic information system SCADA Big data ZigBee Peer-to-peer Sensor web Sensor grid Technology Wireless networking Wireless sensor network

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