Development of Machine Learning Model for the Early Detection of Cyber Threats in Social Media
||17 June 2021
||1:00 PM - 3:00 PM
||Online via Zoom
||For more information, please contact the Graduate Research School.
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Twitter is one of the world's most highly viewed social media networks, users can share their preferences, images, opinions, events, and so on. It can aggregate many network security-related events promptly and provide a source of information flow about cyber threats. Machine learning and Deep learning can play a role in helping social media providers to achieve a more accurate assessment of the cybersecurity level. This research will propose a deep learning-based model, for detecting cybersecurity threats on Twitter. The proposed model can be made available to twitter developers, and it may be beneficial in the form of an artificially intelligent model that improves the detection of cybersecurity threats faster and more accurately.