The new Lisbon strategy aims to encourage a clear, stable and competitive environment for electronic communications and digital services. Towards this aim the technological and scientific infrastructure has been established and a number of e-government applications have been deployed.

Specifically Health services are particularly vulnerable to fraud and abuse. Social security providers and private insurance companies that exchange money with customers, service providers or vendors risk exposure to fraud and abuse. These public and private organizations around the world lose more and more money through fraudulent claims each year and need to accurately determine which claims are fraudulently filed so they can concentrate on preventing revenue loss. They need to recoup this lost money so they can continue providing superior services for their customers. In order to attain the above stated aim the following tangible and quantifiable objectives have been set.

Overall Objective is to provide a generic solution to the fraud occurring in eGovernment services. We focus on parts or whole eGov services where submitted data is processed by the service, i.e., C2G, B2G and G2G. For this, the following sub-objectives will be set:

• produce a fraud analysis methodology for determining fraud in eGovernment services, i.e., for an eGov service:
• understand the business process and associated data items at European level, i.e., study how the same business process is implemented in EU countries and identify the data items that get processed
• produce an EU-wide meta-model of the eGov service for both business process and processed data items
• Identify fraud cases in the eGov service with reference to the EU-wide meta-model above
• Express fraud in the business process as an ontology. This will be an ontology of fraudulence cases expressed as rules on processed data items
• Apply and evaluate this methodology in several eGov services, including health care system, customs etc…
• Develop a fraud detection system capable of detecting fraud in eGov services expressed as an ontology of fraudulent cases (I.e., rules on processed data items)
• Pilot and evaluate the fraud detection system in eGov services offered in health care
• Explore the fraud analysis methodology and fraud detection system in eGov

The consortium will market the platform’s services to various business domains that include fraudulent processes (e.g insurance).