An Implementation of an Algorithm for Information Theft Using Deep Learning Techniques: An Ethical Hacking Event
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96043-8_19
Reference20 articles.
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3. Benavides, E., Fuertes, W., Sanchez, S., Sanchez, M.: Classification of phishing attack solutions by employing deep learning techniques: a systematic literature review. Dev. Adv. Defense Secur. 51–64 (2020)
4. Chalapathy, R., Chawla, S.: Deep learning for anomaly detection: A survey. arXiv preprint arXiv:1901.03407 (2019)
5. Ferrag, M.A., Maglaras, L., Moschoyiannis, S., Janicke, H.: Deep learning for cyber security intrusion detection: approaches, datasets, and comparative study. J. Inf. Secur. Appl. 50, 102419 (2020)
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