DeepOSN: Bringing deep learning as malicious detection scheme in online social network

Putra Wanda, Marselina Endah Hiswati, Huang J. Jie
2020 IAES International Journal of Artificial Intelligence (IJ-AI)  
Manual analysis for malicious prediction in Online Social Networks (OSN) is time-consuming and costly. With growing users within the environment, it becomes one of the main obstacles. Deep learning is growing algorithm that gains a big success in computer vision problem. Currently, many research communities have proposed deep learning techniques to automate security tasks, including anomalous detection, malicious link prediction, and intrusion detection in OSN. Notably, this article describes
more » ... w deep learning makes the OSN security technique more intelligent for detecting malicious activity by establishing a classifier model.
doi:10.11591/ijai.v9.i1.pp146-154 fatcat:xeyelljk7bcmlolmr2h6foy2v4