Presented at
BSidesSF 2016,
Feb. 29, 2016, 2 p.m.
(55 minutes)
Fraud detection and computer security have a number of interesting parallels as adversarial & technological ecosystems where systems have exploits and attack surfaces.With the advent of the on-demand economy, the window of time between purchase and service delivery -- the period during which businesses can typically aim to identify fraudulent activity -- is becoming shorter and shorter.I'll present a summary of the common ways which in which fraudsters attack online commerce - starting with traditional online storefront attacks, and moving on to the challenges faced in realtime marketplaces.I'll explain a number of the techniques and technologies employed in combating online fraud, and draw parallels with traditional network and application security practices.
Presenters:
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James Addison
James Addison is a Scottish-born hacker/engineer with varied technology interests and experience, sometimes including the arcane (GDS systems and payment gateways). Most recently, he has been working on payments technology and fraud detection at Lyft.
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