Philipp Markert (Ruhr University Bochum), Andrick Adhikari (University of Denver), Sanchari Das (University of Denver)

Websites are used regularly in our day-to-day lives, yet research has shown that it is challenging for many users to use them securely, e.g., most prominently due to weak passwords through which they access their accounts. At the same time, many services employ low-security measures, making their users even more prone to account compromises with little to no means of remediating compromised accounts. Additionally, remediating compromised accounts requires users to complete a series of steps, ideally all provided and explained by the service. However, for U.S.-based websites, prior research has shown that the advice provided by many services is often incomplete. To further understand the underlying issue and its implications, this paper reports on a study that analyzes the account remediation procedure covering the 50 most popular websites in 30 countries, 6 each in Africa, the Americas, Asia, Europe, and Oceania. We conducted the first transcontinental analysis on the account remediation protocols of popular websites. The analysis is based on 5 steps websites need to provide advice for: compromise discovery, account recovery, access limitation, service restoration, and prevention. We find that the lack of advice prior work identified for websites from the U.S. also holds across continents, with the presence ranging from 37% to 77% on average. Additionally, we identified considerable differences when comparing countries and continents, with countries in Africa and Oceania significantly more affected by the lack of advice. To address this, we suggest providing publicly available and easy-to-follow remediation advice for users and guidance for website providers so they can provide all the necessary information.

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Chunyi Zhou (Nanjing University of Science and Technology), Yansong Gao (Nanjing University of Science and Technology), Anmin Fu (Nanjing University of Science and Technology), Kai Chen (Chinese Academy of Science), Zhiyang Dai (Nanjing University of Science and Technology), Zhi Zhang (CSIRO's Data61), Minhui Xue (CSIRO's Data61), Yuqing Zhang (University of Chinese Academy of Science)

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PISE: Protocol Inference using Symbolic Execution and Automata Learning

Ron Marcovich, Orna Grumberg, Gabi Nakibly (Technion, Israel Institute of Technology)

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Towards Privacy-Preserving Platooning Services by means of Homomorphic Encryption

Nicolas Quero (Expleo France), Aymen Boudguiga (CEA LIST), Renaud Sirdey (CEA LIST), Nadir Karam (Expleo France)

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Vision: An Exploration of Online Toxic Content Against Refugees

Arjun Arunasalam (Purdue University), Habiba Farrukh (University of California, Irvine), Eliz Tekcan (Purdue University), Z. Berkay Celik (Purdue University)

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