Investigating User Behavior for Authentication Methods

Author:

Ma Yao1,Feng Jinjuan2,Kumin Libby3,Lazar Jonathan4

Affiliation:

1. Taiyuan University of Technology

2. Towson University and UMBC

3. Loyola University Maryland

4. Harvard University and Towson University

Abstract

A wide variety of authentication mechanisms have been designed to ensure information security. Individuals with cognitive disabilities depend on computers and the Internet for a variety of tasks and, therefore, use authentication applications on an everyday basis. However, although there have been numerous studies investigating password usage by neurotypical users, there have been no research studies conducted to examine the use of authentication methods by individuals with cognitive disabilities. In this article, we systematically investigate how individuals with cognitive disabilities, specifically Down syndrome (DS), interact with various user authentication mechanisms. This research provides the first benchmark data on the performance of individuals with DS when using multiple authentication methods. It confirms that individuals with DS are capable of using the traditional alphanumeric passwords with reasonable efficiency. The passwords created by individuals with DS are of similar strength to those created by neurotypical people. Graphic passwords are not as effective as traditional alphanumeric and mnemonic passwords regarding efficiency, and are less preferred by the participants. Based on the findings of the study, we propose design guidelines that aim to assist both practitioners and researchers in designing and developing effective authentication applications that fit the specific needs of individuals with DS.

Funder

Division of Information and Intelligent Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Human-Computer Interaction

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3