Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
Search Results
Item Multi-device Login Monitoring for Google Meet Using Path Compressed Double-Trie and User Location(Springer Science and Business Media Deutschland GmbH, 2021) Patil, A.; Singh, A.; Chauhan, N.Google Meet, much like other online video-conferencing platforms, has seen a surge in popularity for its reliability and convenience, which also makes it necessary to be analysed for vulnerabilities owing to its large user-base. This paper focuses on an observational study on Google Meet to find certain shortcomings, specifically the freedom users have to login through multiple devices and how it can aid attackers in certain scenarios. A simulated back-end architecture is developed to propose a proof of concept on tackling the explored issues using a path compressed double-trie structure and the location of user from his public IP address. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Attentiveness monitoring and user record maintenance in virtual classrooms(Institute of Electrical and Electronics Engineers Inc., 2021) Patil, A.; Singh, A.; Chauhan, N.Virtual classrooms rely on video conferencing tools like Google Meet, Microsoft Teams or Zoom, to carry out lecture sessions. Although previously it was an additional tool, the pandemic scenario made it the primary mode of taking classes. It is observed that lecturers find it hard to monitor and look after every student in such a scenario due to divided webcam feeds, simultaneous presentation and replying on chats. An automated monitoring system can aid in such a scenario where the user's local system can be used for localized calculation of attentiveness using face and eye detection. A simulated back-end architecture is developed to propose a proof-of-concept for the same using a path compressed master-Trie structure. © 2021 IEEE.