Secured Authentication Using Image Processing and Visual Cryptography to Prevent Shoulder Surfing Attack

K. Srikanth , Dr. S. Madhavi

Authentication, Shoulder Surfing, Visual Cryptography, Images Shares.

The most well-known PC confirmation technique is to utilize alphanumerical usernames and secret key. This strategy has been appeared to have noteworthy disadvantages. For cases, clients tend to pick passwords that can be effectively speculated. Then again, if a secret word is difficult to recollect. To address this issue, a few analysts have created verification techniques that utilization pictures as passwords. In this paper, we lead a far reaching study of the current graphical secret word systems. We arrange these methods into two classifications. Acknowledgment based and review based methodologies. We talk about the qualities and confinements of every strategy and bring up the future research bearings around there. We additionally attempt to answer two imperative inquiries: "Are graphical passwords as secure as content based passwords". In this paper, we are leading an exhaustive study of existing graphical picture secret word verification strategies. Additionally we are here proposing another procedure for graphical confirmation.

Published Paper   E-Certificate

"Secured Authentication Using Image Processing and Visual Cryptography to Prevent Shoulder Surfing Attack", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.137 - 140, December-2016, Available :https://ijsdr.org/papers/IJSDR1612026.pdf

Volume 1 Issue 12, December-2016

Pages : 137 - 140

Paper Reg. ID: IJSDR_160981

Published Paper Id: IJSDR1612026

Downloads: 000347216

Research Area: Engineering

Country: Krishna, Andhra Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612026

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612026

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition