This website uses cookies to make the offer more user-friendly and effective. Please agree to the use of cookies in order to be able to use all functions of the website.Further information

26 - 28 February 2019 // Nuremberg, Germany

Conferences and supporting programme

back to day overview
Session 15 - IoT III Payment

ATM Protection Using Embedded Machine Learning Solutions Vortragssprache Englisch

ATMs are an easy target for fraud attacks, like card skimming/trapping, cash trapping, malware and physical attacks. Attacks based on explosives are a rising problem in Europe and in many other parts of the world. A report from the EAST association shows a rise of 80% of such attacks between the first six months of 2015 and 2016. This trend is particularly worrying, not only for the stolen cash, but also for the significant collateral damages to buildings and equipments [1]. We developed a video surveillance application based on Intel RealSense depth cameras that can run on Seco’s A80 Single Board Computer. The camera can be embedded in the ATM’s chassis, and focus the area under the screen, where explosive based attacks begins. The use of depth cameras avoids privacy-related regulatory issues. The computer vision analysis rests on Machine Learning algorithms. We designed a model based on Convolutional Neural Networks able to discriminate between regular ATM usage and breaking attempts. The dataset has been built by recording and tagging depth videos where different people stage withdrawals and attacks on a retired ATM, replicating the actions the thieves do, thanks to the knowledge of the Security Department of the Monte dei Paschi di Siena Bank. The results show that the implemented architecture is able to classify depth data in real-time on an embedded system, detecting all the test attacks in less than 5 seconds on average. Reference: European Association for Secure Transactions: ATM Explosive Attacks surge in Europe, https://www.association-secure-transactions.eu/atm-explosive-attacks-surge-in-europe/ (2016)

--- Date: 28.02.2018 Time: 12:00 PM - 12:30 PM Location: Conference Counter NCC Ost

Speakers

man

Prof. Antonio Rizzo

/ University of Siena

top

The selected entry has been placed in your favourites!

If you register you can save your favourites permanently and access all entries even when underway – via laptop or tablet.

You can register an account here to save your settings in the Exhibitors and Products Database and as well as in the Supporting Programme.The registration is not for the TicketShop and ExhibitorShop.

Register now

Your advantages at a glance:

  • Advantage Save your favourites permanently. Use the instant access to exhibitors or products saved – mobile too, anytime and anywhere – incl. memo function.
  • Advantage The optional newsletter gives you regular up-to-date information about new exhibitors and products – matched to your interests.
  • Advantage Call up your favourites mobile too! Simply log in and access them at anytime.