• Dr. Sanjay Kumar

The extensive integration of smart mobile devices to the Internet of Things (IoT) applications means that a lot of valuable information is found in users' mobile device use, interactions with other devices, and movement patterns. This significant body of data may be efficiently utilised to authenticate a user's identity if monitored over a period of time. Biometric features, such as fingerprints and irises, have effectively increased the security of access in prior works. Behavior-based identification is nevertheless developing as a revolutionary idea in the integrated social networks and IoT infrastructures with its adoption on smart portable devices. We provide an intelligent add-on to assist with continual verification of users in this article. Data collected from built-in sensors and statistics for social networking apps on mobile devices are used in the tests. As part of the data collection process, features are assembled together over time and evaluated using machine learning algorithms. Our analysis demonstrates that when devices with continuous verification intelligence are enabled, users can only be rejected a false 10% of the time, and they are not interrupted during biometric authentication the other 90% of the time. The suggested approach has up to 97% success ratio in the event of unusual behavioural patterns by using an aggregated behaviour pattern on five distinct social networking sites.

IOT. SOCIAL BEHAVIOT, TECHNOLOGY

"A CRITICAL REVIEW ON USE OF IOT IN STUDYING SOCIAL BEHAVIOR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.556-559, June-2018, Available :http://www.jetir.org/papers/JETIR1806880.pdf

"A CRITICAL REVIEW ON USE OF IOT IN STUDYING SOCIAL BEHAVIOR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp556-559, June-2018, Available at : http://www.jetir.org/papers/JETIR1806880.pdf