Rozalina Doneva (Karlsruhe Institute of Technology (KIT)), Anne Hennig (Karlsruhe Institute of Technology (KIT)), Peter Mayer (University of Southern Denmark (SDU))

While passwordless authentication methods are on the rise, password-based authentication remains widely used in practice. In search of effective means to promote stronger password choices, we created and evaluated the effectiveness of six interactive password strength calculator designs with respect to usability, emotional affect, password strength, and password length, by conducting an online survey with 89 participants. The results showed that while all six designs increased password strength and length compared to the control group, the differences were not statistically significant. Based on the mean values, fear-appeal nudges yielded results of similar strength to positive-feedback nudges. Still, positive feedback nudges resulted in slightly longer passwords, breaking with the paradigm that only fear appeals effectively support the creation of secure passwords. Furthermore, designs with additional information and guidance yielded longer and stronger passwords than those without, although the differences were not statistically significant. However, designs with additional information guidance exhibited significantly higher usability scores, indicating that providing guidance not only has the potential to enhance password security effectively but also improves usability.

View More Papers

Prompt Injection Attack to Tool Selection in LLM Agents

Jiawen Shi (Huazhong University of Science and Technology), Zenghui Yuan (Huazhong University of Science and Technology), Guiyao Tie (Huazhong University of Science and Technology), Pan Zhou (Huazhong University of Science and Technology), Neil Zhenqiang Gong (Duke University), Lichao Sun (Lehigh University)

Read More

Passive Multi-Target GUTI Identification via Visual-RF Correlation in LTE...

Byeongdo Hong (The Affiliated Institute of ETRI), Gunwoo Yoon (The Affiliated Institute of ETRI)

Read More

Beyond Jailbreak: Unveiling Risks in LLM Applications Arising from...

Yunyi Zhang (Tsinghua University), Shibo Cui (Tsinghua University), Baojun Liu (Tsinghua University), Jingkai Yu (Tsinghua University), Min Zhang (National University of Defense Technology), Fan Shi (National University of Defense Technology), Han Zheng (TrustAl Pte. Ltd.)

Read More