A survey on detection of cybersecurity threats on Twitter using deep learning
Paper
Paper/Presentation Title | A survey on detection of cybersecurity threats on Twitter using deep learning |
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Presentation Type | Paper |
Authors | Alsodi, Omar (Author), Zhou, Xujuan (Author), Gururajan, Raj (Author) and Shrestha, Anup (Author) |
Editors | Xu, Guandong, Ali, Raian, Zaghouani, Wajdi, Tao, Xiaohui and Li, Lin |
Journal or Proceedings Title | Proceedings of the 8th International Conference on Behavioural and Social Computing (BESC 2021) |
Number of Pages | 6 |
Year | 2021 |
Place of Publication | United States |
Digital Object Identifier (DOI) | https://doi.org/10.1109/BESC53957.2021.9635406 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/abstract/document/9635406 |
Conference/Event | 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021) |
Event Details | 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021) Event Date 29 to end of 31 Oct 2021 Event Location Doha, Qatar |
Abstract | In these times of increasing cybersecurity threats, monitoring and analysing cybersecurity events in a timely and effective way is the key to promote social media security. Twitter is one of the world's widely used social media platforms where users can share their preferences, images, opinions, and events. The Twitter platform can promptly aggregate cyber-related events and provide a source of information about cyber threats. Likewise, Deep Learning can play a critical role to help social media providers achieve a more accurate assessment of cybersecurity threats. In this paper, we have reviewed various threats and discussed deep learning techniques to detect cybersecurity threats on Twitter. |
Keywords | cyber security, deep learning, Twitter, cybersecurity threats, social media |
ANZSRC Field of Research 2020 | 460499. Cybersecurity and privacy not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Business |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6w28/a-survey-on-detection-of-cybersecurity-threats-on-twitter-using-deep-learning
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