Objective
"The impact of cybercrime is a growing concern in a society that increasingly interacts online. In the EU the cost of
cybercrime has reached €871 billion a year and fraudulent card transactions amounted to €1.27 billion. The high number of
online frauds coupled with the low level of cybersecurity deters businesses, and in particular SMEs who may not be able to
afford comprehensive anti-fraud services, from fully exploiting the potential of e-commerce. UNFRAUD is a software product
that prevents potential online fraud scenarios by analysing previous and current fraudulent invents through deep learning
artificial intelligence to tackle the new challenges that fraudsters devise. UNFRAUD’s algorithms are similar to one’s used by
Google for self driving cars and facial recognition (i.e. deep AI that recognizes human errors, behaviours and surroundings)
and through this deep learning it is able to detect ""fraudulent"" behaviour. This makes UNFRAUD much more reliable as well
as greatly reducing the cost of anti-fraud services, allowing companies to operate and grow safely. During the Phase 1
feasibility study the project will focus on identifying and securing the key partners required for commercialisation,
establishing a sound business model and commercialization strategy, and planning a pilot test with a bank, big e-commerce,
enterprise, telecommunication company and public administration in order to fully demonstrate and assess the products
capabilities."
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.
- social sciences economics and business business and management commerce e-commerce
- social sciences economics and business business and management business models
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- natural sciences computer and information sciences computer security
- social sciences political sciences public administration
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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.
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H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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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.
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.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
83031 ARIANO IRPINO
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.