Gokul CJ (TCS Research, Tata Consultancy Services Ltd., Pune), Vijayanand Banahatti (TCS Research, Tata Consultancy Services Ltd., Pune), Sachin Lodha (TCS Research, Tata Consultancy Services Ltd., Pune)

Phishing threats are on the rise, especially through Business Email Compromise (BEC). Despite having several tools for phishing email detection, the attacks are becoming smarter and personal, targeting individuals to gain access to personal and organizational information. Game-based cybersecurity training methods are found to have positive results in educating users. Along this line, we introduce PickMail, an anti-phishing awareness game that simulates typical real-life email scenarios to train an organization’s employees. In PickMail, we train participants to judge the legitimacy of an email by inspecting its various parts, such as the sender’s email domain, hyperlinks, attachments, and forms. The game also records participants’ decision-making steps that lead to their final judgment. Our study with 478 participants shows how the serious game-based training helped the participants make better judgments on emails, with the correctness in identifying email legitimacy reaching 92.62%. The study also provided us with insights that could help develop better training methods and user interfaces.

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Why People Still Fall for Phishing Emails: An Empirical...

Asangi Jayatilaka (Centre for Research on Engineering Software Technologies (CREST), The University of Adelaide, School of Computing Technologies, RMIT University), Nalin Asanka Gamagedara Arachchilage (School of Computer Science, The University of Auckland), M. Ali Babar (Centre for Research on Engineering Software Technologies (CREST), The University of Adelaide)

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Demo #13: Attacking LiDAR Semantic Segmentation in Autonomous Driving

Yi Zhu (State University of New York at Buffalo), Chenglin Miao (University of Georgia), Foad Hajiaghajani (State University of New York at Buffalo), Mengdi Huai (University of Virginia), Lu Su (Purdue University) and Chunming Qiao (State University of New York at Buffalo)

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AdvCAPTCHA: Creating Usable and Secure Audio CAPTCHA with Adversarial...

Hao-Ping (Hank) Lee (Carnegie Mellon University), Wei-Lun Kao (National Taiwan University), Hung-Jui Wang (National Taiwan University), Ruei-Che Chang (University of Michigan), Yi-Hao Peng (Carnegie Mellon University), Fu-Yin Cherng (National Chung Cheng University), Shang-Tse Chen (National Taiwan University)

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DrawnApart: A Deep-Learning Enhanced GPU Fingerprinting Technique

Naif Mehanna (University of Lille, CNRS, Inria), Tomer Laor (Ben-Gurion University of the Negev)

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