VibroAuth: Authentication with Haptics Based Non-visual, Rearranged Keypads to Mitigate Shoulder Surfing Attacks

Manisha Varma, Stacey Watson, Liwei Chan, Roshan Peiris*

*此作品的通信作者

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

PIN (Personal Identification Number) code entry is a widely used authentication method used on smartphones, ATMs, etc. However, it is typically subject to shoulder surfing attacks where, a bystander may observe the user’s keypad during PIN code entry. To mitigate this issue, we present a novel method that uses non-visual keypads for entering PIN codes where, the numbers on the keypad are invisible and rearranged. The numbers are rearranged by shifting the rows/columns of the keypad and we use haptic patterns to privately convey the keypad layout information to the user. The results of our first study with 22 participants indicated that the participants could learn the haptic patterns relatively fast and use the non-visual keypads with high accuracy. Next, a security experiment with 12 participants discusses the effectiveness of our method in mitigating shoulder surfing attacks.

原文English
主出版物標題HCI for Cybersecurity, Privacy and Trust - 4th International Conference, HCI-CPT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
編輯Abbas Moallem
發行者Springer Science and Business Media Deutschland GmbH
頁面280-303
頁數24
ISBN(列印)9783031055621
DOIs
出版狀態Published - 2022
事件4th International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2022 Held as Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online
持續時間: 26 6月 20221 7月 2022

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13333 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference4th International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2022 Held as Part of the 24th HCI International Conference, HCII 2022
城市Virtual, Online
期間26/06/221/07/22

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