Objective
The objective is the development of a core European technological offering in the emerging sector of Customer On Line Behavioural Data Analysis. The need for high performance fraud detection applications based on this core technology has evolved, with different levels of maturity, in different markets. In the electronic money market dedicated software products have already appeared in the US. In the telecommunications market the needs have more recently been identified, and consequently there is significant market potential. In the international network services arena the commercial exploitation of the Internet is introducing new access monitoring challenges for service providers.
The sectors identified above share some basic common features: in all of them there is a very large customer base accessing a digital network based service and generating very high transaction volumes. In each of these sectors fraudulent/criminal behaviour is increasingly experienced, and is expected to continue its growth at the exponential rate of the Internet expansion. Only a combination of HPCN technologies and advanced pattern recognition techniques can provide a suitable solution to the need of monitoring these transactions and detecting fraudulent behaviours in an on-line environment. The focus is on the requirements of the credit card market, where a significant market for on-line fraud detection is mature. The validity of the approach in the telecommunication sector will be assessed through a set of focused experiments.
A neural based fraud detection software prototype will be developed and a performance characterisation activity, on SMP architectures, will be executed with specific reference to credit card fraud detection requirements. In addition, experimental activities on telecommunications frauds and a market study in the relevant sectors will be performed.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- natural sciences computer and information sciences software
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences artificial intelligence pattern recognition
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
20132 Milano
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.