Citation

Amer, Mohamed Mahrous and Kam, Yvonne Hwei Syn and Goh, Vik Tor (2021) A Study on Using Emojis in a Shoulder Surfing Resistant Authentication Method. In: 9th International Conference on IT Convergence and Security, ICITCS 2021, 15-17 May 2021, Virtual Conference.

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Abstract

While images or emojis offer good memorability when used in an authentication method, inherently graphical data are highly susceptible to shoulder surfing attacks. An authentication system incorporating emojis was proposed and designed, which offers resistance to shoulder surfing attacks. The proposed system implements emojis in place of numerics in the reference method, DragPIN, and adds cue questions. The methods are compared in terms of performance and memorability, through user testing. The proposed authentication system was found to be successful at resisting shoulder surfing attacks. After 4–6 weeks, memorability was also higher in the proposed method compared to the reference method.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Computers—Access control—Passwords Graphical authentication system, PIN, Password
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Nov 2021 04:08
Last Modified:	04 Nov 2021 04:08
URII:	http://shdl.mmu.edu.my/id/eprint/9742

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