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Articles

Deep learning to combat phishing

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Sonal Khandelwal & Aanyaa Chaudhary. (2022) COVID-19 pandemic & cyber security issues: Sentiment analysis and topic modeling approach. Journal of Discrete Mathematical Sciences and Cryptography 25:4, pages 987-997.
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Saleem Riaz, Lin Hui, Mehmet Serif Aldemir & Farkhanda Afzal. (2021) A future concern of iterative learning control : A survey. Journal of Statistics and Management Systems 24:6, pages 1301-1322.
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Articles from other publishers (9)

Damiano Torre, Frantzy Mesadieu & Anitha Chennamaneni. (2023) Deep learning techniques to detect cybersecurity attacks: a systematic mapping study. Empirical Software Engineering 28:3.
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Swati Maurya & Anurag Jain. 2023. Proceedings of Third International Conference on Computing, Communications, and Cyber-Security. Proceedings of Third International Conference on Computing, Communications, and Cyber-Security 249 260 .
Meraj Farheen Ansari, Amrutanshu Panigrahi, Geethamanikanta Jakka, Abhilash Pati & Krutikanta Bhattacharya. (2022) Prevention of Phishing attacks using AI Algorithm. Prevention of Phishing attacks using AI Algorithm.
Aakanksha Sharaff, Ramya Allenki & Rakhi Seth. 2022. Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines. Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines 864 891 .
Özlem BATUR DİNLER, Canan BATUR ŞAHİN & Laith ABUALİGAH. (2021) Comparison of Performance of Phishing Web Sites with Different DeepLearning4J Models. European Journal of Science and Technology.
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Özlem BATUR DİNLER, Canan BATUR ŞAHİN & Laith ABUALİGAH. (2021) WEKA DL4J Tekniklerini Kullanarak Kimlik Avı Web Sitelerinin İncelenmesi. European Journal of Science and Technology.
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Aakanksha Sharaff, Ramya Allenki & Rakhi Seth. 2021. New Opportunities for Sentiment Analysis and Information Processing. New Opportunities for Sentiment Analysis and Information Processing 1 28 .
Yidong Chai, Yonghang Zhou, Weifeng Li & Yuanchun Jiang. (2021) An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. IEEE Transactions on Dependable and Secure Computing, pages 1-1.
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Abdul Basit, Maham Zafar, Xuan Liu, Abdul Rehman Javed, Zunera Jalil & Kashif Kifayat. (2020) A comprehensive survey of AI-enabled phishing attacks detection techniques. Telecommunication Systems 76:1, pages 139-154.
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