Title:
Fighting Voice Spam with a Virtual Assistant

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dc.contributor.author Pandit, Sharbani
dc.contributor.corporatename Georgia Institute of Technology. Institute for Information Security & Privacy en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Computer Science en_US
dc.date.accessioned 2020-02-25T20:30:56Z
dc.date.available 2020-02-25T20:30:56Z
dc.date.issued 2020-02-21
dc.description Presented on February 21, 2020 at 12:00 p.m. in the CODA Building, 9th floor atrium. en_US
dc.description Sharbani Pandit is a Ph.D. student in the School of Computer Science at Georgia Institute of Technology, advised by Prof. Mustaque Ahamad. Her research interest lies mainly in telephony security, detection of fraud, spam/scam calls via the telephony channel. en_US
dc.description Runtime: 58:48 minutes en_US
dc.description.abstract Telephony has been a trusted channel in the past but technological advances have exposed it to abuse that is perpetrated by fraudsters and criminals. Mass robocalls, call source spoofing and voice phishing are some of the abuse techniques that are being used to target millions of people. Because of the serious nature of the problem of unwanted spoofed robocalls, there are several ongoing initiatives that are aimed at combating caller ID spoofing. However, quick and at-scale deployment of such solutions is unlikely. We address the problem of robocalls and other unwanted calls by introducing a virtual assistant that can be integrated into smartphone applications. Similar to a human assistant, the virtual assistant can pick up an incoming call and use audio analysis techniques to screen it to determine if the call is unwanted. By developing a proof-of-concept prototype of the virtual assistant, we demonstrate that a small amount of audio at the start of a call can be used to make such a determination. A user study conducted by us showed that our system, RobocallGuard, is able to preserve the call experience of a phone call and does not negatively impact legitimate callers. We believe the virtual assistant can help overcome the limitations of existing defenses such as phone blacklists, which can be easily undermined by caller ID spoof ng. Since blacklists are the basis of several commercial solutions, our approach could o er the next line of defense against telephony abuse. en_US
dc.format.extent 58:48 minutes
dc.identifier.uri http://hdl.handle.net/1853/62473
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries Cybersecurity Lecture Series
dc.subject Fraud en_US
dc.subject Robocalls en_US
dc.subject Spam en_US
dc.subject Telephony en_US
dc.title Fighting Voice Spam with a Virtual Assistant en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename School of Cybersecurity and Privacy
local.contributor.corporatename College of Computing
local.relation.ispartofseries Institute for Information Security & Privacy Cybersecurity Lecture Series
relation.isOrgUnitOfPublication f6d1765b-8d68-42f4-97a7-fe5e2e2aefdf
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 2b4a3c7a-f972-4a82-aeaa-818747ae18a7
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