DocumentCode
134562
Title
Exploring the guessability of hand drawn images based on cultural characteristics
Author
Jebriel, Salem ; Poet, Ron
Author_Institution
Sch. of Comput. Sci., Univ. of Glasgow, Glasgow, UK
fYear
2014
fDate
26-27 March 2014
Firstpage
5
Lastpage
13
Abstract
The aim of this research is to examine whether or not an attacker could guess hand drawn images chosen as graphical password by others, based on knowledge of some cultural information like where they are come from or their religion or even their hopes and aims. Also, the aim was therefore to ascertain at what level the cross-cultural influences might affect our choice and use of drawn images as password. The investigation made a comparison between Western (Scottish), Arab (Libyans) and Africans (Nigerians) as the comparison between regions which had been well investigated by previous researchers had tended to focus on Western and Eastern subjects. To conclude, it can be accepted that culture significantly affected drawings depending on some human factors such as gender, etc. Moreover, one clear result of this work is that it is apparently highly possible to guess other people´s pass images if they contain cultural characteristics, especially religious marks, otherwise it is much more difficult to guess them, and also this depends on many factors. Finally, this paper outlines some rules and guidelines of drawing a strong secret graphical password.
Keywords
cryptography; cultural aspects; Africans; Arabs; Libyans; Nigerians; Scottish culture; cross-cultural influences; cultural characteristics; cultural information; hand drawn image guessability; religion; secret graphical password; Authentication; Cultural differences; Educational institutions; Internet; Sociology; Statistics; Guessability; Hhand drawing images; Security; graphical password;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (CSIT), 2014 6th International Conference on
Conference_Location
Amman
Print_ISBN
978-1-4799-3998-5
Type
conf
DOI
10.1109/CSIT.2014.6805971
Filename
6805971
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