A personalized rhythm click-based authentication system

Ting-Yi  Chang, Yu Ju Yang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Purpose In keystroke-based authentication systems, an input device to enter a password is needed. Users are verified by checking the validity of the password and typing characteristics. However, some devices have no standard desktop keyboard such as personal digital assistants and mobile phones. With these types of electronics, the system cannot successfully work in the authentication phase while the registration process is implemented based on a computer keyboard. This results in a reduction of system portability. The purpose of this paper is to employ the rhythm clicked by a mouse as another identifiable factor to authenticate a user's identity. Design/methodology/approach Mouse click can be replaced by a stylus and fingers on touch screens or numeral buttons on mobile phones. A total of 25 users participated and the click data are based on time instances of pressing and releasing the mouse button, which are captured while the user clicks a rhythm. Three features are calculated using these click data, and a reasonable amount of results with neural networks and other classifiers shows the click characteristics are able to function as another identifiable factor. Findings A reasonable amount of results with neural networks and other classifiers shows the click characteristics are able to function as another identifiable factor. Originality/value The paper presents a personalized rhythm click-based authentication system.

Original languageEnglish
Pages (from-to)72-85
Number of pages14
JournalInformation Management & Computer Security
Volume18
Issue number2
DOIs
Publication statusPublished - 2010 Jun 8

Fingerprint

Authentication
Mobile phones
Classifiers
neural network
Computer keyboards
Neural networks
Touch screens
Personal digital assistants
Electronic equipment
assistant
electronics
methodology
Factors
Mouse
Values
Classifier
Mobile phone

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Business and International Management
  • Management Science and Operations Research
  • Library and Information Sciences

Cite this

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A personalized rhythm click-based authentication system. / Chang, Ting-Yi ; Yang, Yu Ju.

In: Information Management & Computer Security, Vol. 18, No. 2, 08.06.2010, p. 72-85.

Research output: Contribution to journalArticle

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