DocumentCode
2959598
Title
Pure and cued recall-based graphical user authentication
Author
Masrom, Maslin ; Towhidi, Farnaz ; Lashkari, Arash Habibi
Author_Institution
Coll. of Sci. & Technol., Univ. Technol. Malaysia (UTM), Kuala Lumpur, Malaysia
fYear
2009
fDate
14-16 Oct. 2009
Firstpage
1
Lastpage
6
Abstract
Nowadays, user authentication is one of the important topics in information security. Text-based strong password schemes could provide with certain degree of security. However, the fact that strong passwords being difficult to memorize often leads their owners to write them down on papers or even save them in a computer file. Graphical authentication has been proposed as a possible alternative solution to text-based authentication, motivated particularly by the fact that humans can remember images better than text. In recent years, many networks, computer systems and Internet-based environments try used graphical authentication technique for their user´s authentication. All of graphical passwords have two different aspects which are usability and security, unfortunately none of these algorithms were not being able to cover both of these aspects at the same time. This paper presents a review on the pure and cued recall-based algorithms in graphical password authentication. On each of these algorithms the lacks and attacks are indentified. The most common lacks and attacks for recall-based algorithms are then identified and described.
Keywords
graphical user interfaces; security of data; cued recall based authentication; graphical password schemes; graphical user authentication; information security; pure recall based authentication; Authentication; Computer networks; Computer science; Educational institutions; Humans; Information security; Information technology; Software engineering; Turing machines; Usability;
fLanguage
English
Publisher
ieee
Conference_Titel
Application of Information and Communication Technologies, 2009. AICT 2009. International Conference on
Conference_Location
Baku
Print_ISBN
978-1-4244-4739-8
Electronic_ISBN
978-1-4244-4740-4
Type
conf
DOI
10.1109/ICAICT.2009.5372534
Filename
5372534
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