Shakthidhar Reddy Gopavaram (Indiana University), Jayati Dev (Indiana University), Marthie Grobler (CSIRO’s Data61), DongInn Kim (Indiana University), Sanchari Das (University of Denver), L. Jean Camp (Indiana University)

Phishing is a ubiquitous global problem that is both the simple crime of theft of authenticating information and the first step in advanced persistent attack chains. Despite receiving worldwide attention and investments in targeted anti-phishing campaigns, a large proportion of people are still vulnerable to phishing. This is not only due to the evolution of phishing attacks, but also due to the diversity of those exposed to phishing attacks in terms of demographics, jurisdiction, and technical expertise. To explore phishing resilience, we conducted a cross-national study to identify demographic and other factors that might have an impact on phishing resilience across nations. Specifically, we recruited 250 participants from the United States, Australia, New Zealand, Canada, and the United Kingdom to observe their responses to phishing websites in a simulated environment. We identified how factors including demographics, knowledge, skills, website familiarity, and self-reported risk assessment behaviors relate to efficacy in phishing detection. While participants’ phishing knowledge, familiarity with the target website, and their reported use of the lock icon as a phishing indicator increases participants’ probability of correctly identifying a legitimate website, we found that these factors did not specifically make them more resilient to phishing attacks. Our results further show that computer expertise has a significant positive impact on phishing resilience and that increased age correlates with the probability of misconstruing a phishing site as legitimate. These findings were applicable across all five countries in our study.

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Madura A. Shelton (University of Adelaide), Niels Samwel (Radboud University), Lejla Batina (Radboud University), Francesco Regazzoni (University of Amsterdam and ALaRI – USI), Markus Wagner (University of Adelaide), Yuval Yarom (University of Adelaide and Data61)

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PhantomCache: Obfuscating Cache Conflicts with Localized Randomization

Qinhan Tan (Zhejiang University), Zhihua Zeng (Zhejiang University), Kai Bu (Zhejiang University), Kui Ren (Zhejiang University)

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The Impact of Workload on Phishing Susceptibility: An Experiment

Sijie Zhuo (University of Auckland), Robert Biddle (University of Auckland and Carleton University, Ottawa), Lucas Betts, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, Danielle Lottridge, Giovanni Russello (University of Auckland)

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Demo #3: Detecting Illicit Drone Video Filming Using Cryptanalysis

Ben Nassi, Raz Ben-Netanel (Ben-Gurion University of the Negev), Adi Shamir (Weizmann Institute of Science), and Yuval Elovic (Ben-Gurion University of the Negev)

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