Enhancing Security Of Secret Question By Using Smart phone Sensor

Miss. Avhad Priyanka , Miss.Mali Nikita , Mr.Pawar Kiran , Mr.Sonaje Nikhil , Prof.V.A.Hiray

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Many web applications provide secondary authentication methods, i.e. secret questions (or password recovery questions), to reset the account password when a user's login fails. However, the answers to many such secret questions can paper,we present a Secret-Question based Authentication system, called be easily guessed by an acquaintance or exposed to a stranger that has access to public online tools (e.g., online social networks); moreover,a user may forget her/his answers long after creating the secret questions.Today's prevalence of smart phones has granted us new opportunities to observe and understand how the personal data collected by smart phone sensors and apps can help create personalized secret questions without violating the users' privacy concerns. In this Secret QA", that creates a set of secret questions on basic of people's smart phone usage. We develop a prototype on Android smart phones, and evaluate the security of the secret questions by asking the acquaintance/stranger who participate in our user study to guess the answers with and without the help of online tools; meanwhile.Observe the questions' reliability by asking participants to answer their own questions. To remind modern people of something at a specify time and location , Smart Location Reminder is a boon . To serve the purpose, implementing an application for Android-based smart phones and tablets which is not only time based but also location based.

Published Paper   E-Certificate

"Enhancing Security Of Secret Question By Using Smart phone Sensor", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 6, page no.64 - 67, June-2019, Available :https://ijsdr.org/papers/IJSDR1906016.pdf

Volume 4 Issue 6, June-2019

Pages : 64 - 67

Paper Reg. ID: IJSDR_190675

Published Paper Id: IJSDR1906016

Downloads: 000347182

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1906016

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1906016

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

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