Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities-Reference-Cited by-同舟云学术

Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities

Published:2022 Issue: Volume: Page:73-88
ISSN:1860-949X
Container-title:Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities
language:
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Author:

Rani Veenu,Kumar Munish,Mittal Ajay,Kumar Krishan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96737-6_4

Reference48 articles.

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2. Adekunle, Y.A., Adebayo, A.O.: Holistic exploration of gaps vis-à-vis artificial intelligence in automated teller machine and internet banking 12(19), 4–8 (2019)

3. Ahmed, M., Naser, M.A., Hu, J.: A survey of network anomaly detection techniques. J. Netw. Comput. Appl. 60, 19–31 (2016). https://doi.org/10.1016/j.jnca.2015.11.016

4. Ali, R., Ali, A., Aleem, S.: A systematic review of artificial intelligence and machine learning techniques for cyber security a systematic review of artificial intelligence and machine learning techniques for cyber security (2020). https://doi.org/10.1007/978-981-15-7530-3

5. Aljamal, I., Tekeoglu, A., Bekiroglu, K., Sengupta, S.: Hybrid intrusion detection system using machine learning techniques in cloud computing environments. In: Proceedings 2019 IEEE/ACIS 17th International Conference on Software Engineering Research, Management and Application, SERA 2019, pp. 84–89 (2019). https://doi.org/10.1109/SERA.2019.8886794

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