Phoneypot: Data-driven Understanding of Telephony Threats

4 years 9 months ago
Phoneypot: Data-driven Understanding of Telephony Threats
—Cyber criminals are increasingly using robocalling, voice phishing and caller ID spoofing to craft attacks that are being used to scam unsuspecting users who have traditionally trusted the telephone. It is necessary to better understand telephony threats to effectively combat them. Although there exist crowd sourced complaint datasets about telephony abuse, such complaints are often filed after a user receives multiple calls over a period of time, and sometimes they lack important information. We believe honeypot technologies can be used to augment telephony abuse intelligence and improve its quality. However, a telephony honeypot presents several new challenges that do not arise in other traditional honeypot settings. We present Phoneypot, a first large scale telephony honeypot, that allowed us to explore ways to address these challenges. By presenting a concrete implementation of Phoneypot using a cloud infrastructure and 39,696 phone numbers (phoneytokens), we provide evidence...
Payas Gupta, Bharath Srinivasan, Vijay Balasubrama
Added 15 Apr 2016
Updated 15 Apr 2016
Type Journal
Year 2015
Where NDSS
Authors Payas Gupta, Bharath Srinivasan, Vijay Balasubramaniyan, Mustaque Ahamad
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