Abstract
Privacy and security today are extremely important as we enter the digital age. Authenticating users via passwords has proven to be secure, but flaws still exist. Due to the vast availability and flexibility of password authentication, it is now the most accepted form of user authentication. Intrusion systems, using various techniques, can find ways to break into passwords. Alternate solutions have been proposed, varying from expensive hardware-based authentication to two-phase authentication protocols. We offer an alternative system to authenticate users by extracting social user data available on Facebook and other social media, then generating questions using the collected data and user personality insights. Our mobile application and website are developed using Express Framework, NodeJS, and MongoDB.
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Siddavatam, I., Khatri, D., Ashar, P., Parekh, V., Sharma, T. (2019). Authentication Using Dynamic Question Generation. In: Krishna, A., Srikantaiah, K., Naveena, C. (eds) Integrated Intelligent Computing, Communication and Security. Studies in Computational Intelligence, vol 771. Springer, Singapore. https://doi.org/10.1007/978-981-10-8797-4_31
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DOI: https://doi.org/10.1007/978-981-10-8797-4_31
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