Behavior Analysis of User Interaction on Online Short Video Platform

Online short video platform (OSVP) can disseminate information in an intuitive and three-dimensional (3D) way, and achieve commercial value in a mobile, socialized, life-oriented manner. To fully understand the information dissemination mode of short videos, it is of practical significance to explore user behaviors and their interactive relationship. Therefore, this paper carries out a behavior analysis on user interaction on OSVP. Firstly, an OSVP user interaction model was established based on three aspects: activity, attention, and interactivity. Next, user preference for short videos was examined through cluster analysis and evaluation. Finally, the authors summarized the behavior features of OSVP user interaction and investigated user interaction to decide which videos should be pushed to users. The average utility and average cost of user interaction behavior were compared, indicators of degree centrality were summarized, and the validity of the proposed algorithm was verified by experimental results

Secure user authentication on smartphones via sensor and face recognition on short video clips

Smartphones play a key role in our daily life, they can replace our watch, calendar, and mail box but also our credit card, house keys and in the near future our identity documents. Their increasing use in storing sensitive information, has raised the need to protect users and their data through secure authentication protocols. The main achievement of this work is to make the smartphone not only the cause of the problem but also part of the solution. Here, the Sensor Pattern Noise of the smartphone embedded camera and the HOG features of the user’s face are combined for a double check of user identity