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Telecommunication Anti-Fraud Grid-based System (TAF-GRIDS) in a few words...

The goal of the TAF-GRIDS is to exploit Grid technologies and the results of BEinGRID project in order to enable the development of an advanced and resource intensive, real-time, inter-enterprise, Telecom Anti-Fraud System in which customers’ usage records are exchanged, captured, stored and analysed.

Case Study

Download the TAF-GRIDS – Telecommunication Anti-Fraud Grid-based System (BE20) - case study

Situation

The currently available variety of Telecom Anti-Fraud Systems, provide reliable solutions in terms of aggregated data analysis. However, they fail to address the requirements for real-time analysis of the huge volume of data created and for cross-enterprise (Telecom Operator) synchronous correlation of subscriber’s usage information, especially during roaming sessions. Grid technologies enable the resource sharing in multi-institutional virtual organizations as well as provide the system with the required scalability and flexibility in data and computational resource management. The innovation of this experiment is the real-time collaboration across telecom operators to collaboratively detect and combat fraud using grid-enabled systems.

Objectives

The objective of this experiment is to use Grid technologies to enable the resource sharing in multi-institutional virtual organizations as well as provide the system with the required scalability and flexibility in data and computational resource management to overcome current Fraud detection system’ limitations.

Solution

Grid technologies will be applied to two aspects to reach the real time requirements imposed by the business practice of telecommunication anti-fraud monitoring in real-time. Regarding the requirement of establishing real-time collaboration among telecom operators, the Grid’s ability to share resources belonging to different administration domains will be applied to share customers’ usage records. In order to address the requirement of performing real time analysis of customers’ usage data, Grid’s capacity for management of massive and distributed computing power will be applied to execute complex algorithms able to detect fraudulent customer behaviors based on usage rules and profiles.

Business Impact

The main business objective is to reduce time for fraud detection process, to lower number of false alarms, to better control the revenue chain, especially the unwanted revenue leakage and to increase the level of trust among operators and between the operator and its customers.
Clearly, reducing the revenue loss for operators benefits the operators financially (both directly and indirectly) – a product that clearly saves money for the operators will of course increase revenues and profits for the applications and the solutions provider.
Other side-objectives (but equally important) are: to increase the Productivity Rate for Fraud Analysts, to increase Roaming Revenues (inbound and outbound) for the Operators, to improve their customer satisfaction in order to retain existing customers and attract new ones.
Finally, the project aims at having a positive impact on the operators’ “image capital” (i.e. brand/reputation) which is the single most important intangible asset for any operator today.