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- Vol. 4 Issue 6
- Article
Ontology-Based Domain Framework for Enhanced Anti-Phishing Measures
Authors
123 B. Tech Student, Department of Computer Science, Institute of technology and Management (ITM), Gida, Gorakhpur, Uttar Pradesh, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 6 (2024)
- Published Online
- November-December 2024
- Pages
- 01-03
- Article Type
- Original Article
- Check for updates
- No DOI available for cross-reference
References
. Abu-Salih, B.; Qudah, D.A.; Al-Hassan, M.; Ghafari, S.M.; Issa, T.; Aljarah, I.; Alqahtani, S. An intelligent system for multi-topic social
spam detection in microblogging. J. Inf. Sci. 2022.
2. Zantal-Wiener, A. 47% of Social Media Users Report Seeing More Spam in Their Feeds, even as Networks Fight to Stop It. 2019.
3. Barati, R. Security Threats and Dealing with Social Networks. SN Comput. Sci. 2022, 4, 9.
4. Rodrigues, A.P.; Fernandes, R.; Shetty, A.; Lakshmanna, K.; Shafi, R.M. Real-time twitter spam detection and sentiment analysis using
machine learning and deep learning techniques. Comput. Intell. Neurosci. 2022, 2022, 5211949.
spam detection in microblogging. J. Inf. Sci. 2022.
2. Zantal-Wiener, A. 47% of Social Media Users Report Seeing More Spam in Their Feeds, even as Networks Fight to Stop It. 2019.
3. Barati, R. Security Threats and Dealing with Social Networks. SN Comput. Sci. 2022, 4, 9.
4. Rodrigues, A.P.; Fernandes, R.; Shetty, A.; Lakshmanna, K.; Shafi, R.M. Real-time twitter spam detection and sentiment analysis using
machine learning and deep learning techniques. Comput. Intell. Neurosci. 2022, 2022, 5211949.
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