Black Hat, one of the premier, highly technical security conferences of the year, welcomes Pindrop Labs Research Scientist Aude Marzuoli to host a session at Black Hat USA 2016.
I am excited for Marzuoli to discuss her latest research findings on the most menacing trends of the telephony channel and describe the calling patterns she tracked via a telephony honeypot. She will share with you her original thesis and how she used Pindrop’s honeypot to gather and analyze accurate and timely information on unwanted phone calls across the United States. By determining how these bad call sources can be quickly and accurately identified using features extracted from honeypot call audio, Pindrop Labs stands to aid law enforcement and businesses across the globe that are combatting rising telephony fraud.
Using machine learning and semantic information collected from honeypot call audio, Marzuoli and her team collected over 500,000 calls over five months from 90,000+ unique source phone numbers. Leveraging this data, Pindrop Labs developed a method to “fingerprint” high-risk call sources, attempting to hide behind phone numbers, and detect them in the first few seconds of a call.
In total, Marzuoli’s research included 1,072,840 calls placed to a honeypot by 209,755 sources and to 57,818 destinations. Out of these calls, she sampled over 100,000 for recording and analysis. The eye opening results were shared with Federal Communications Commission and the Federal Trade Commision. We look forward sharing to these results and what can be done to protect consumers and stop robocall scams.
I will be in the audience as she takes the stage and we will both be available after the session. I hope you will join us at Black Hat on August 4, 2016 at 5 pm PST in the South Seas CDF room. More details on her session are available here.
