A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects
April 06, 2025 ยท The Cartographer ยท ๐ Computers in Human Behavior Reports
"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Futu"
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Authors
Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick, Jacques Bou Abdo, Mohammed Aledhari, Junaid Qadir, Kathleen Carley, Ala Al-Fuqaha
arXiv ID
2504.04311
Category
cs.CR: Cryptography & Security
Cross-listed
cs.AI,
cs.CY,
cs.LG,
cs.SI
Citations
8
Venue
Computers in Human Behavior Reports
Last Checked
3 days ago
Abstract
In today's digital era, the Internet, especially social media platforms, plays a significant role in shaping public opinions, attitudes, and beliefs. Unfortunately, the credibility of scientific information sources is often undermined by the spread of misinformation through various means, including technology-driven tools like bots, cyborgs, trolls, sock-puppets, and deep fakes. This manipulation of public discourse serves antagonistic business agendas and compromises civil society. In response to this challenge, a new scientific discipline has emerged: social cybersecurity.
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