UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1904O70


Registration ID:
208392

Page Number

433-438

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Title

Keystroke Analysis for user Authentication

Abstract

As we are in the twenty-first century, new challenges proliferate to safeguard against fraud and impersonations. Today we are much dependent on computers to sensitive and delicate information. Dependence on computers to store and process information has made it obligatory to secure them from unauthentic users. Biometric Security is a security mechanism used to authenticate and provide access to a facility or system based on instant verification of an individual’s physical characteristics. It is the strongest and the most foolproof measure used for identifying an individual. One such behavioral biometric technique is keystroke dynamics or keystroke analysis which can make use of typing pattern of an individual can be used to enhance existing security techniques like password protecting techniques efficiently and effectively .This work is premeditated to present one such cover based on validating access to computers by recognizing certain unique and habitual typing patterns of users.

Key Words

Keystroke Dynamics, Keystroke Analysis, Biometrics, PCA (Principal Component Analysis),SVM(Support Vector Machine).

Cite This Article

"Keystroke Analysis for user Authentication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.433-438, April-2019, Available :http://www.jetir.org/papers/JETIR1904O70.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Keystroke Analysis for user Authentication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp433-438, April-2019, Available at : http://www.jetir.org/papers/JETIR1904O70.pdf

Publication Details

Published Paper ID: JETIR1904O70
Registration ID: 208392
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 433-438
Country: Srinagar, Jammu and Kashmir, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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