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SUMMARY:Proactive Fraud Management over Financial Data Streams - Pedro Sam
 paio\, University of Manchester
DTSTART:20100121T141500Z
DTEND:20100121T151500Z
UID:TALK21340@talks.cam.ac.uk
CONTACT:Jonathan Anderson
DESCRIPTION:Fraud detection within financial platforms is a challenging ar
 ea with fraud events cutting across multiple financial products\, service 
 channels and geographical locations.  Fraudsters are continuously seeking 
 security flaws\, and rapidly reengineering fraud methods to gain unauthori
 zed access to accounts and execute illegal transactions. Fraud detection s
 ystems employed by financial institutions have to respond to new threats b
 y shortening fraud detection points\, increasing the accuracy of customer 
 profiling methods\, and rapidly deploying new policies to address loophole
 s. This talk will identify challenges and opportunities linked to proactiv
 ely managing financial fraud through real-time evaluation of financial dat
 a streams. In particular\, the talk will discuss how fraud management fram
 eworks and architectures designed using stream-based platforms and policy 
 based languages can be leveraged to increase the effectiveness of fraud ma
 nagement.
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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