CERIAS - Center for Education and Research in Information Assurance and Security

Skip Navigation
Purdue University - Discovery Park
Center for Education and Research in Information Assurance and Security

CEIVE: Combating Caller ID Spoofing on 4G Mobile Phones Via Callee-Only Inference & Verification

Haotian Deng - Purdue University

Jan 09, 2019

Size: 205.2MB

Download: Video Icon MP4 Video  
Watch in your Browser   Watch on Youtube Watch on YouTube


Caller ID spoofing forges the authentic caller identity, thus making the call appear to originate from another user. In this paper, we propose CEIVE (Callee-only inference and verification), an effective and practical defense against caller ID spoofing. It is a victim callee only solution without requiring additional infrastructure support or changes on telephony systems. We implement CEIVE on Android phones and test it with all top four US mobile carriers, one landline and two small carriers. It shows 100% accuracy in almost all tested spoofing scenarios except one special, targeted attack case.

About the Speaker

Haotian Deng is a forth-year PhD student from the department of computer science. His advisor is Prof. Chunyi Peng. His research interests are mainly on mobile networks.

Unless otherwise noted, the security seminar is held on Wednesdays at 4:30P.M. STEW G52 (Suite 050B), West Lafayette Campus. More information...


The views, opinions and assumptions expressed in these videos are those of the presenter and do not necessarily reflect the official policy or position of CERIAS or Purdue University. All content included in these videos, are the property of Purdue University, the presenter and/or the presenter’s organization, and protected by U.S. and international copyright laws. The collection, arrangement and assembly of all content in these videos and on the hosting website exclusive property of Purdue University. You may not copy, reproduce, distribute, publish, display, perform, modify, create derivative works, transmit, or in any other way exploit any part of copyrighted material without permission from CERIAS, Purdue University.