|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 listsThe Faraday In Geometric Analysis and Partial Differential Equations seminar Sociolinguistics Seminar
Other talksRisk prediction using common genetic variants Graphene For Antenna System Applications In The Terahertz Frequency Range Stripping down science New Developments in Machine Intelligence: Microsoft Machine Learning and Perception Fractional calculus in control applications Neurotransduction mechanism via GPCRs: alpha helix, the smallest spring in nature