Objective "The impact of cybercrime is a growing concern in a society that increasingly interacts online. In the EU the cost ofcybercrime has reached €871 billion a year and fraudulent card transactions amounted to €1.27 billion. The high number ofonline frauds coupled with the low level of cybersecurity deters businesses, and in particular SMEs who may not be able toafford comprehensive anti-fraud services, from fully exploiting the potential of e-commerce. UNFRAUD is a software productthat prevents potential online fraud scenarios by analysing previous and current fraudulent invents through deep learningartificial intelligence to tackle the new challenges that fraudsters devise. UNFRAUD’s algorithms are similar to one’s used byGoogle 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 wellas greatly reducing the cost of anti-fraud services, allowing companies to operate and grow safely. During the Phase 1feasibility 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 productscapabilities." Fields of science natural sciencescomputer and information sciencessoftwaresocial scienceseconomics and businessbusiness and managementcommercee-commercesocial scienceseconomics and businessbusiness and managementbusiness modelsnatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learningnatural sciencescomputer and information sciencescomputer security Programme(s) H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens Main Programme H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument Topic(s) SMEInst-13-2016-2017 - Engaging SMEs in security research and development Call for proposal H2020-SMEInst-2016-2017 See other projects for this call Sub call H2020-SMEINST-1-2016-2017 Funding Scheme SME-1 - SME instrument phase 1 Coordinator TXN SRL Net EU contribution € 50 000,00 Address Via calvario 5 83031 Ariano irpino Italy See on map Region Sud Campania Avellino Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 21 429,00
