Abstract
Cybersecurity is an extensive and vivacious domain in the commercial progression of the ecosphere. By up-to-date inhabitants, networking settings and assets, cybersecurity fits with the exigent task to realize the necessities of the imminent populace. Intelligent cybersecurity / intellectual smart cybersecurity has risen as a pioneering tool to deal with latest ambiguities in programmed cybersecurity enduring capability by bringing together Artificial Intelligence (AI) in Cybersecurity Computerization. The mechanism that enterprises in this cutting-edge technology handles the mechanism capability to acquire via depleting Bootstrapped Meta-learning and reinforced with rewards as Supreme Cybersecurity vintages, besides least resource utilizations as well as time limits. AI empowered cybersecurity technology is a vital constituent of the imminent cybersecurity revolution ahead. During this operation, a proficient computerization of AI application in the arena of cybersecurity sustenance is ready for attaining the supreme output welfares as results, also inhibiting the real assets. Setting the precise real-time issues are trailed by cracking it for affluence and escalation or magnification of cybersecurity thus by prominent universal preeminent impending cybersecurity. A meta-learning/AI-based automated security strategy is vital in the protection of critical infrastructure, users and assets disinclined to outbreaks.
References
Belani, G. "The Use of Artificial Intelligence in Cybersecurity: A Review." URL: https://www. computer. org/publications/tech-news/trends/the-use-ofartificial-intelligence-in-cybersecurity (2021).
IBM Security, Artificial intelligence (AI) for cybersecurity, Beyond the Hype: AI in your SOC, AI Guide for CISOs
Daniel Martin, 8 Benefits of Using AI for Cybersecurity, CYBER MANAGEMENT ALLIANCE, 4 May 2021.
Flennerhag, Sebastian, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, and Satinder Singh. "Bootstrapped meta-learning." arXiv preprint arXiv:2109.04504 (2021).
Flennerhag, Sebastian, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, and Raia Hadsell. "Meta-learning with warped gradient descent." arXiv preprint arXiv:1909.00025 (2019).
Grant, Erin, Chelsea Finn, Sergey Levine, Trevor Darrell, and Thomas Griffiths. "Recasting gradient-based meta-learning as hierarchical bayes." arXiv preprint arXiv:1801.08930 (2018).
Prerna Singh, and Mahendra Kumar, Rise of Automotive Hacking. In International Research Journal of Modernization in Engineering Technology and Science, Vol. 04, No. 05, PP. 5729-5733, May 2022.
Mike Thomas, The Future of AI: How Artificial Intelligence Will Change the World. In Article in Built in, 2022.
Tim Wilson, Mobile Phones: Hackers' Next Target. In Article in Dark Reading, Informatech, 2022.
Dhwani Meharchandani, 7 Cloud Vulnerabilities Endangering Your Data!. In Kratikal Blogs, December 13, 2021.
Technology team, Data Breaches: Financial Institutions the Prime Target. In Article in Tecplix, 2022.
Dijin Dinesh, IoT with 5G Network: The New Era of Technology and Risks. In Research article in aspire SYSTEMS, October 20, 2021.
Joseph Ochieng, Automation and Integration in Cybersecurity. In Article in CyberExperts.com, 14.06.2020.
Threat Hunter Team, Targeted Ransomware. In the Whitepaper of Symantec, October 7, 2020.
Staff, Cyber Warfare: Nation State Sponsored Cyber Attacks. In a Blog in A10, May 17, 2022.
Learning Center, Insider Threat. In a Blog in Imperva, 2021.
Baeldung, Epsilon-Greedy Q-learning. In Machine Learning Article in Baeldung CS, January 15, 2021.
