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Dyanamic Pattern Generation using Picture Dataset for Secure Authentication

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Madhana Kumari, Meghana Nene, Pratiksha Nikam, Ashwini Gurne

Madhana Kumari, Meghana Nene, Pratiksha Nikam and Ashwini Gurne. Dyanamic Pattern Generation using Picture Dataset for Secure Authentication. International Journal of Computer Applications 160(2):27-30, February 2017. BibTeX

	author = {Madhana Kumari and Meghana Nene and Pratiksha Nikam and Ashwini Gurne},
	title = {Dyanamic Pattern Generation using Picture Dataset for Secure Authentication},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {2},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {27-30},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017912978},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Graphical password is in the foremost level than textual password. It overcomes the vulnerabilities of cracking password through various types of attacks. Graphical password is more secure than password in the form of text. It provides more memorable password than alphanumeric password which can reduce the burden on brain of user. It protects cloud data from shoulder surfing attack. Psychological study says that human can easily remember images than text, Hence graphical passwords are easy to remember and difficult to guess whereas textual passwords are difficult to remember and easy to guess. In Graphical password authentication technique images are used for authentication instead of texts. It combines recognition and recall based approach.


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Authorization, Graphical Password, Security, Shoulder surfing, cloud access, GUA