Shoulder Surfing Resistant Graphical Authentication Scheme for Web Based Applications

Seun Ebiesuwa; AKINSANYA, Adebola

Shoulder Surfing Resistant Graphical Authentication Scheme for Web Based Applications

Seun Ebiesuwa * §

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AKINSANYA, Adebola §

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§ Babcock University

Shoulder Surfing Resistant Graphical Authentication Scheme for Web Based Applications

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Abstract

Since the design and development of the first graphical authentication pioneered by Blonder in 1996, numerous research has been conducted on this area to be used in different scenarios especially on the Internet. One of the major motivators is the picture superiority which as studies have shown, states that images/pictures provide higher memorability as opposed to Text based authentication. However, graphical authentication is still faced with some challenges. In this paper, a shoulder surfing resistant graphical authentication scheme is proposed to tackle a major issue related to the graphical authentication schemes developed. The proposed scheme provides a high level of resistance to shoulder surfing attacks, mitigating the need to upload pictures and aids in finding chosen objects in the scheme.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Seun Ebiesuwa, AKINSANYA, Adebola. 2018. "Shoulder Surfing Resistant Graphical Authentication Scheme for Web Based Applications". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 17 (GJCST Volume 17 Issue C3).

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GJCST Volume 17 Issue C3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-C Classification D.2.6

H.5.2

Submission ReceivedDecember 7, 2016
Peer Review Double Blind
Handling Editor
Accepted January 1, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

January 12, 2018

Language

English

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Article Matrices

Total Score: 105

Country: Nigeria

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Seun Ebiesuwa, Ariweriokuma, P.E., Akinsanya, Adebola (PhD/Dr. count: 0)

View Count (all-time): 506

Total Views (Real + Logic): 2411

Total Downloads (simulated): 125

Publish Date: 2017 01, Sun

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Total Views: 2.4K

Total Downloads: 125

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