Enhancing Security Of Secret Question By Using Smart-Phone Sensor
Avhad Priyanka
, Mali Nikita , Pawar Kiran , Sonaje Nikhil , Prof. V. A. Hiray
Many web applications provide secondary authentication methods, i.e., secret questions (or password recovery questions), to reset the account pass-word when a user's login fails. However, the answers to many such secret questions can 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 smartphones has granted us new opportunities to observe and understand how the personal data collected by smartphone sensors and apps can help create personalized secret questions without violat-ing the users' privacy concerns. In this paper, we present a Secret-Question based Authentication system, called SecretQA",that creates a set of secret questions on basic of people's smartphone usage. We develop a prototype on Android smartphones, 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 speci c time and location , Smart Location Reminder is a boon . To serve the purpose, imple-menting an application for Android-based smartphones and tablets which is not only time based but also location based
"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.3, Issue 11, page no.241 - 244, December-2018, Available :https://ijsdr.org/papers/IJSDR1812039.pdf
Volume 3
Issue 11,
December-2018
Pages : 241 - 244
Paper Reg. ID: IJSDR_180915
Published Paper Id: IJSDR1812039
Downloads: 000347201
Research Area: Engineering
Country: -, -, -
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
