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Minors Would Be Safe Browsing of Internet through Intelligent Systems
Proceedings of International Conference on Engineering, Science and Technology 2021
Ana Elena Taboada Montes de Oca, Richard de Jesús Gil Herrera
Dr. Mack Shelley, Dr. Valarie Akerson
978-1-952092-24-4
60-69
The boom in mobile technology has created conditions where any type of information on internet is easily accessible to users, including minors, whose intuitive ability is surprising in daily use of cell phones and tablets to find diversity of topics. It is feasible, without proper supervision by parents, it can bring unfavorable situations for everyone, particularly children. This research has as a main objective the use of AI algorithms, as an alternative to identify, without human intervention in real time, some cyber threats that put the emotional and physical cyber-security of children at risk when browsing internet. After a systematical review of technical literature, some algorithms have been evaluated and implemented as a software application for analysis and reduction of texts extracted from Web pages (urls) that minor could access, to determine whether the associated texts are positive or negative, through sentiment analysis. Additionally, with classification techniques and neural network models, that application has been improved to predict of categories for extracted texts (without human intervention) that result in blocking parameters for these unwanted url, for not been suitable in its content for minor. As conclusion, an AI software have been implemented and tested for automatically-block of identified unsuitable domains.
Oca, A. E. T. M. & Herrera, R. J. G. (2021). Minors would be safe browsing of internet through intelligent systems. In M. Shelley & V. Akerson (Eds.), Proceedings of IConEST 2021-- International Conference on Engineering, Science and Technology (pp. 60-69), Chicago, USA. ISTES Organization.
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