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dc.contributor.authorNelms, Terry
dc.date.accessioned2017-09-25T15:47:34Z
dc.date.available2017-09-25T15:47:34Z
dc.date.issued2017-09-01
dc.identifier.urihttp://hdl.handle.net/1853/58784
dc.descriptionPresented on September 1, 2017 at 12:00 p.m. in the Klaus Advanced Computing Building, Room 1116W.en_US
dc.descriptionTerry Nelms is a director of research at Pindrop, where he leads a team of applied researchers solving challenging problems in fraud detection and authentication. His research has produced new security products, patents and publications in top industry and academic conferences.en_US
dc.descriptionRuntime: 52:05 minutesen_US
dc.description.abstractRobocalling, voice phishing and caller ID spoofing are common cybercrime techniques used to launch scam campaigns through the telephony channel that many people have long trusted. More than 660,000 online complaints regarding unwanted phone calls were recorded on the top six phone complaints websites. More reliable than online complaints, a telephony honeypot provides complete, accurate and timely information about unwanted phone calls across the United States. By tracking calling patterns in a large telephony honeypot receiving over 600,000 calls per month from more than 90,000 unique source phone numbers, we gathered threat intelligence in the telephony channel. Leveraging this data we developed a methodology to uniquely “fingerprint” bad actors hiding behind multiple phone numbers and detect them within the first few seconds of a call. Over several months, we recorded more than 100,000 calls and analyzed several million call records to validate our methodology. Our results show that only a few bad actors are responsible for the majority of the spam and scam calls and that they can be quickly identified with high accuracy using features extracted from the audio. This discovery has major implications for law enforcement and businesses that are presently engaged in combatting the rise of telephony fraud.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCybersecurity Lecture Seriesen_US
dc.subjectPhoneprintingen_US
dc.subjectPhoneypoten_US
dc.subjectRobocallsen_US
dc.subjectSecurityen_US
dc.titleCall Me: Gathering Threat Intelligence on Telephony Scams to Detect Frauden_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Information Security & Privacyen_US
dc.contributor.corporatenamePindrop Security, Inc.en_US


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