CFCA Events

KNOWledge Network (Members Only)

Virtual Event
The Knowledge Network is a forum for participants to discuss current issues and trends in communications fraud, to seek answers and/or to make contacts for future offline discussions
Free

Spring into 202ONE: Telco Fraud in 2021: Identify the Human to Prevent More Fraud, More Efficiently.

How can new, cutting-edge technologies like linguistic biometrics help us detect fraud that would have otherwise gone unnoticed? And as we move to permanent work-from-home scenarios for contact center agents, what steps can we take to protect end consumers and carrier brands while also increasing agent efficiency and productivity? Facilitator: Simon Marchand, Chief Fraud Prevention Officer, Nuance
Free

Spring into 202ONE: Spring into 202ONE: 2021: New Expectations for Voice Providers on Robocalls; Dramatic Changes to TCPA Landscape

FCC has issued multiple new orders and rules covering a broad range of issues, including call authentication, traceback, call blocking, and limitations on prior landline call exemptions, among others. This includes a mandate to implement STIR/SHAKEN across IP networks and requirements for all providers to take certain robocall abatement steps. Facilitator: David Kaminski, Partner, Carlson & Messer LLP and Kevin Rupy, Partner, Wiley Rein LLP
Free

Live International Information Collaboration

Virtual Event
These sessions are aimed at having a collaborative open discussion on current issues facing international telecom service providers when it comes to communications fraud.
Free

Spring into 202ONE: Putting Advanced Analytics at the Heart of the Fight Against Subscription Fraud

Insights and conversation on the following: A quick overview on subscription fraud and its impact, How synthetic identities are used for committing multiple fraud types, It is time to embrace AI/ML for combating subscription fraud. Dynamic digital identity validation can help in enforcing multi-channel authentication and verification. Amit Jain, Product Director for Fraud and Risk at Mobileum
Free

Spring into 202ONE: Understanding and Detecting International Revenue Share Fraud

Exploring the IRSF ecosystem from multiple angles, via: A telephony honeypot, a dataset of more than 3 Million test IPRNs and 200k+ test call logs over 4 years, and real-world call data set from a small European operator. Leveraging our observations we propose several Machine Learning features that can be used in IRSF detection and validate our approach on the dataset achieving 98% accuracy with a 0.28% false-positive rate. Facilitator: Aurélien Francillon, Professor at EURECOM
Free
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