Abstract
In this era of technological know-how crime has changed from bodily assault to virtual assault and due to increase of Internet applications, i.e., social media has made conversation simpler as nicely as given an open supply for terrorist to layout their undertaking with the assist of social media structures it is easy to terrify and create chaos in society which leads in excessive cyber terrorism ratio from last few years. Due to this extend in cyber terrorism ratio we would like to discover such exercise the usage of multimedia dataset which could become aware of such undertaking the usage of live API of social media in combination with deep learning to obtain accurate solution to this growing trouble of cyber terrorism due to the fact keyboards used through terrorists are extra dangerous than a bomb.
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Mandaviya, H., Sathwara, S. (2021). Cyber Terrorism-Related Multimedia Detection Using Deep Learning—A Survey. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_11
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