Opendata, web and dolomites


The e-wallet Fraud Detection

Total Cost €


EC-Contrib. €






Project "EFD" data sheet

The following table provides information about the project.


Organization address
address: 14 HABANIM
postcode: 70300
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Project website
 Total cost 2˙773˙750 €
 EC max contribution 1˙941˙625 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2015
 Funding Scheme SME-2
 Starting year 2015
 Duration (year-month-day) from 2015-08-01   to  2017-07-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PAYGILANT LTD IL (BEHER YACOV) coordinator 1˙941˙625.00


 Project objective

'EFD (e-wallet Fraud Detection) aims to provide people with a tool that will dramatically improve credit card frauds and false identity thefts. To date the cost of credit card frauds and false identity thefts worldwide amount to billions of dollars annually. The objective of this project is to implement the e-wallet Fraud Detection (EFD) system and support Self Safe Ltd (SSafe) in becoming a leading provider of mobile fraud detection tools to the emerging market of mobile e-wallets. EFD system objective is to reduce fraudulent financial transactions, using anti-theft algorithms running on the user mobile device. The system works in an off line mode without the need for the device to be connected to the acquirer database. EFD system detects an unauthorised attempt to make a transaction and prevents it, if it detects a problem or suspicion. The EFD technology will defend e-wallets in transactions at the Point of Sale directly via NFC and also transactions done on the internet. Based on EFD's patented technology (US 61 815798 Self Authentication: “invention directed to the use of mobile devices in offline transactions, and, more particularly, to a system, method and device for self-authentication of transactions”), e-wallet users will have a 'financial transaction firewall'. EFD’s ultra-light fraud detection algorithms and models, offers on-the-spot intervention and prevention of fraudulent financial transaction using the smartphone. In case of fraud, EFD system may instruct the electronic wallet to block all credit cards until issuing a release process while sending relevant information to customer and credit card issuers. The technology enables to cover all credit cards that are approved for use by the smartphone wallet, achieving higher accuracy and fraud detection rates. '


List of deliverables.
Ethics and Gender Report Documents, reports 2019-09-17 12:50:12
Report on Project Scientific Dissemination Documents, reports 2019-09-17 12:50:12
Execution and Results, Demos and Trails Documents, reports 2019-09-17 12:50:12
Project initial website Websites, patent fillings, videos etc. 2019-09-17 12:50:12
Project brochures Websites, patent fillings, videos etc. 2019-09-17 12:50:12
Project presentation Websites, patent fillings, videos etc. 2019-09-17 12:50:12

Take a look to the deliverables list in detail:  detailed list of EFD deliverables.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EFD" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "EFD" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

Starcounter (2017)

In-Memory Computing and Artificial Intelligence Platform for Building Next Generation Enterprise Software

Read More  

scanvid (2017)

ScanVid - One-Click Integrated Access to Product-related Digital Content

Read More  

BioAhead (2017)

BioAhead – an innovative optimization algorithm for amino acid chain analytics

Read More