Nick Ceccio, Naman Gupta, Majed Almansoori, Rahul Chatterjee (University of Wisconsin-Madison)

Intimate partner violence (IPV) is a prevalent societal issue that affects many people globally. Unfortunately, abusers rely on technology to spy on their partners. Prior works show that victims and advocates fail to combat and prevent technology-enabled stalking due to their limited technical background. However, not much is known about this issue; why do victims and advocates struggle to combat technology-enabled stalking despite the ease of finding resources online? To answer this question, we aim to conduct a mixed-method study to explore smartphone usage patterns and internet search behavior while detecting and preventing technology-enabled abuse. In this future work, we plan to conduct a mixed-method between-group study to investigate the smartphone usage patterns and internet search behavior of participants helping their friend combat technology-enabled spying. We expect the tech-savvy participants to be more effective and time-efficient in finding and disabling stalking methods than non-tech-savvy participants.

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Preventing SIM Box Fraud Using Device Model Fingerprinting

BeomSeok Oh (KAIST), Junho Ahn (KAIST), Sangwook Bae (KAIST), Mincheol Son (KAIST), Yonghwa Lee (KAIST), Min Suk Kang (KAIST), Yongdae Kim (KAIST)

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Real Threshold ECDSA

Harry W. H. Wong (The Chinese University of Hong Kong), Jack P. K. Ma (The Chinese University of Hong Kong), Hoover H. F. Yin (The Chinese University of Hong Kong), Sherman S. M. Chow (The Chinese University of Hong Kong)

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ChargePrint: A Framework for Internet-Scale Discovery and Security Analysis...

Tony Nasr (Concordia University), Sadegh Torabi (George Mason University), Elias Bou-Harb (University of Texas at San Antonio), Claude Fachkha (University of Dubai), Chadi Assi (Concordia University)

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Guess Which Car Type I Am Driving: Information Leak...

Dongyao Chen (Shanghai Jiao Tong University), Mert D. Pesé (Clemson University), Kang G. Shin (University of Michigan, Ann Arbor)

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