Lachlan Moore, Tatsuya Mori (Waseda University, NICT)

This study delves into the utilization patterns, perceptions, and misconceptions surrounding Virtual Private Networks (VPNs) among users in Canada and Japan. We administered a comprehensive survey to 234 VPN users in these two countries, aiming to elucidate the motivations behind VPN usage, users’ comprehension of VPN functionality, and prevalent misconceptions. A distinctive feature of our research lies in its cross-cultural comparison, a departure from previous studies predominantly centered on users within a Western context. Our findings underscore noteworthy distinctions among participant groups. Specifically, Japanese users predominantly employ VPNs for security purposes, whereas Canadian users leverage VPNs for a more diverse array of services, encompassing privacy and access to region-specific content. Furthermore, disparities in VPN understanding emerged, with Canadians demonstrating a superior grasp of VPN applications despite limited technical knowledge, while Japanese participants exhibited a more profound understanding of VPNs, particularly in relation to encrypting transmitted traffic. Notably, both groups exhibited a constrained awareness regarding the data logging practices associated with VPNs. This research significantly contributes to the broader comprehension of VPN usage and sheds light on the cultural intricacies that shape VPN adoption and perceptions, offering valuable insights into the diverse motivations and behaviors of users in Canada and Japan.

View More Papers

On Precisely Detecting Censorship Circumvention in Real-World Networks

Ryan Wails (Georgetown University, U.S. Naval Research Laboratory), George Arnold Sullivan (University of California, San Diego), Micah Sherr (Georgetown University), Rob Jansen (U.S. Naval Research Laboratory)

Read More

Understanding Influences on SMS Phishing Detection: User Behavior, Demographics,...

Daniel Timko (California State University San Marcos), Daniel Hernandez Castillo (California State University San Marcos), Muhammad Lutfor Rahman (California State University San Marcos)

Read More

TextGuard: Provable Defense against Backdoor Attacks on Text Classification

Hengzhi Pei (UIUC), Jinyuan Jia (UIUC, Penn State), Wenbo Guo (UC Berkeley, Purdue University), Bo Li (UIUC), Dawn Song (UC Berkeley)

Read More

K-LEAK: Towards Automating the Generation of Multi-Step Infoleak Exploits...

Zhengchuan Liang (UC Riverside), Xiaochen Zou (UC Riverside), Chengyu Song (UC Riverside), Zhiyun Qian (UC Riverside)

Read More