|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Proactive Fraud Management over Financial Data Streams
If you have a question about this talk, please contact Jonathan Anderson.
Fraud detection within financial platforms is a challenging area 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 unauthorized access to accounts and execute illegal transactions. Fraud detection systems employed by financial institutions have to respond to new threats by shortening fraud detection points, increasing the accuracy of customer profiling methods, and rapidly deploying new policies to address loopholes. This talk will identify challenges and opportunities linked to proactively managing financial fraud through real-time evaluation of financial data streams. In particular, the talk will discuss how fraud management frameworks and architectures designed using stream-based platforms and policy based languages can be leveraged to increase the effectiveness of fraud management.
This talk is part of the Computer Laboratory Security Seminar series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsSecurity-related talks Queens' Linguistics Fest 2012 CERF
Other talksAdaptive dose-finding with power control Optimal designs for correlated observations Some critical issues in adaptive experimental designs for treatment comparisons TBC Nature-inspired meta-heuristic algorithms for generating optimal experimental designs Vaccinia virus protein 169 modulates host protein synthesis and affects virulence