Muhammad Hassan, Mahnoor Jameel, Masooda Bashir (University of Illinois at Urbana Champaign)

Social network platforms are now widely used as a mode of communication globally due to their popularity and their ease of use. Among the various content-sharing capabilities made available via these applications, link-sharing is a common activity among social media users. While this feature provides a desired functionality for the platform users, link sharing enables attackers to exploit vulnerabilities and compromise users’ devices. Attackers can exploit this content-sharing feature by posting malicious/harmful URLs or deceptive posts and messages which are intended to hide a dangerous link. However, it is not clear how the most common social media applications monitor and/or filter when their users share malicious URLs or links through their platforms. To investigate this security vulnerability, we designed an exploratory study to examine the top five android social media applications’ performance when it comes to malicious link sharing. The aim was to determine if the selected applications had any filtering or defenses against malicious URL sharing. Our results show that most of the selected social media applications did not have an effective defense against the posting and spreading of malicious URLs. While our results are exploratory, we believe our study demonstrates the presence of a vital security vulnerability that malicious attackers or unaware users can use to spread harmful links. In addition, our findings can be used to improve our understanding of link-based attacks as well as the design of security measures that usability into account

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Privacy-Preserving Database Fingerprinting

Tianxi Ji (Texas Tech University), Erman Ayday (Case Western Reserve University), Emre Yilmaz (University of Houston-Downtown), Ming Li (CSE Department The University of Texas at Arlington), Pan Li (Case Western Reserve University)

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Brokenwire: Wireless Disruption of CCS Electric Vehicle Charging

Sebastian Köhler (University of Oxford), Richard Baker (University of Oxford), Martin Strohmeier (armasuisse Science + Technology), Ivan Martinovic (University of Oxford)

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Copy-on-Flip: Hardening ECC Memory Against Rowhammer Attacks

Andrea Di Dio (Vrije Universiteit Amsterdam), Koen Koning (Intel), Herbert Bos (Vrije Universiteit Amsterdam), Cristiano Giuffrida (Vrije Universiteit Amsterdam)

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Improving In-vehicle Networks Intrusion Detection Using On-Device Transfer Learning

Sampath Rajapaksha (Robert Gordon University), Harsha Kalutarage (Robert Gordon University), M.Omar Al-Kadri (Birmingham City University), Andrei Petrovski (Robert Gordon University), Garikayi Madzudzo (Horiba Mira Ltd)

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