Real Time Change Detection and Alerts from Highway Traffic Data
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
FS3: A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
DBSec'05 Proceedings of the 19th annual IFIP WG 11.3 working conference on Data and Applications Security
ICISS'05 Proceedings of the First international conference on Information Systems Security
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Our NSF funded project aims at providing decision makers with the ability to extract and fuse information from multiple, hetertgeneous sources in response to a query while operating under a decentralized security administration. Our motivation comes from US Customs, which embarked on a major modernization initiative of its Information Technology systems. Drawing in data from Customs trade systems, targeting inspectors review manifest information as well as strategic and tactical intelligence to determine "high-risk" shipments and containers. This entails a considerable level of communication and data sharing between various government agencies. Based on the idea of "Smart Borders", the system will utilize data available from different agencies, ports and customs divisions to supplement the profiling by targeting towards anomalies, and detect various flags raised by non-conforming shipments or abnormal behavior of inbound cargos and raise a combination of alerts. The output of this project would ideally enhance the security aspect of the Automated Commercial Environment (ACE) system by incorporating the concept of semantic interoperability, anomaly detection and subsequent spatial and geographical visualization of information that can help Customs inspectors make better decisions.