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Threats and opportunities with ai-based cyber security intrusion detection: a review

Publication Type:

Journal Article

Authors:

Bibhu Dash; Meraj Farheen Ansari; Pawankumar Sharma; Azad Ali

Source:

International Journal of Software Engineering & Applications (IJSEA), Volume 13, Issue 5 (2022)
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References

Mengidis, Notis, Theodora Tsikrika, Stefanos Vrochidis, and Ioannis Kompatsiaris. "Blockchain and AI for the Next Generation Energy Grids: Cybersecurity Challenges and Opportunities." Information & Security: An International Journal 43, no. 1 (2019): 21-33.
Tagarev, Todor, Nikolai Stoianov, George Sharkov, and Yantsislav Yanakiev. "AI-driven Cybersecurity Solutions, Cyber Ranges for Education & Training, and ICT Applications for Military Purposes." Information & Security: An International Journal 50, no. 1 (2021): 5-8.

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APA style: Dash, B., Ansari M. Farheen, Sharma P., & Ali A. (2022).  Threats and opportunities with ai-based cyber security intrusion detection: a review. International Journal of Software Engineering & Applications (IJSEA). 13(5), 
Chicago style: Dash, Bibhu, Meraj Farheen Ansari, Pawankumar Sharma, and Azad Ali. "Threats and opportunities with ai-based cyber security intrusion detection: a review." International Journal of Software Engineering & Applications (IJSEA) 13, no. 5 (2022).
IEEE style: Dash, B., M. Farheen Ansari, P. Sharma, and A. Ali, "Threats and opportunities with ai-based cyber security intrusion detection: a review", International Journal of Software Engineering & Applications (IJSEA), vol. 13, issue 5, September 2022.
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