A pattern-based password authentication scheme for minimizing shoulder surfing attack

M. I. Awang, M. A. Mohamed, Rajina M A Raj Mohamed, A. Ahmad, N. A. Rawi

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The user usually uses a password to avoid the attacks like a dictionary attack, brute force attack and shoulder surfing attack which is the famous attack nowadays. The shoulder surfing attack is a direct observation technique by watching over the user's shoulder when they enter their password to get information. The most common authentication method used by the user is textual password. But, the textual password has many disadvantages because it is vulnerable to attack as it tends to shoulder surfing attack. In this project, a pattern-based password authentication will develop to overcome this problem. Using this scheme, the user needs to select the type of pattern that they like during registration. To log in to their account, the user needs to enter the password in the form of the textual password in ordering manner based on a pattern that they choose during registration. The text password grid presented with a different style as it filled with random objects whether characters, numbers or images. This method is suitable to minimizing shoulder surfing attack as it can improve the security of user's password and they can efficiently login to the system.

Original languageEnglish
Pages (from-to)1049-1055
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume7
Issue number3
DOIs
Publication statusPublished - 01 Jan 2017

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shoulders
Authentication
Glossaries
methodology
Observation

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Engineering(all)

Cite this

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A pattern-based password authentication scheme for minimizing shoulder surfing attack. / Awang, M. I.; Mohamed, M. A.; M A Raj Mohamed, Rajina; Ahmad, A.; Rawi, N. A.

In: International Journal on Advanced Science, Engineering and Information Technology, Vol. 7, No. 3, 01.01.2017, p. 1049-1055.

Research output: Contribution to journalArticle

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