AI in Network Security: Enhancing Protection in the Age of Automation

Authors

  • Ramanathan Sekkappan Madurai Kamaraj University, India Author

DOI:

https://doi.org/10.32628/CSEIT241061146

Keywords:

AI Network Security, Quantum Cybersecurity, 5G Threat Detection, Machine Learning Security, Security Automation

Abstract

This comprehensive article explores the transformative role of artificial intelligence in network security, addressing the evolving challenges and solutions in contemporary cybersecurity landscapes. The article delves into how AI-driven systems revolutionize threat detection, response capabilities, and security operations across organizations. Through analysis of machine learning algorithms, automated response systems, and emerging technologies, this article investigates the implementation challenges, best practices, and future considerations in AI security adoption. The article examines the impact of quantum computing, edge processing, and 5G networks on security paradigms while considering the complexities of data privacy, compliance requirements, and operational hurdles. This article provides insights into strategic planning, technical integration, and governance frameworks necessary for successful AI security implementation while exploring how organizations can prepare for future security challenges in an increasingly connected world.

Downloads

Download data is not yet available.

References

Steve Morgan, "Cybercrime To Cost The World $10.5 Trillion Annually By 2025," Cybersecurity Ventures, Nov. 13, 2020. [Online]. Available: https://cybersecurityventures.com/hackerpocalypse-cybercrime-report-2016/

Aya H. Salem, Safaa M. Azzam, O. E. Emam & Amr A. Abohany, "Advancing cybersecurity: a comprehensive review of AI-driven detection techniques," Journal of Big Data volume 11, Article number: 105 (2024), 04 August 2024. [Online]. Available: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-024-00957-y DOI: https://doi.org/10.1186/s40537-024-00957-y

IBM Security, "Cost of a Data Breach Report 2024," 2024. [Online]. Available: https://www.ibm.com/downloads/documents/us-en/107a02e94948f4ec

Cisco Systems, "Cisco Annual Internet Report (2018–2023) White Paper," Cisco, March 9, 2020. [Online]. Available: https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html

Microsoft Security, "Microsoft Digital Defense Report 2024," 2024. [Online]. Available: https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/final/en-us/microsoft-brand/documents/Microsoft%20Digital%20Defense%20Report%202024%20%281%29.pdf

Fortinet, "Global Threat Landscape Report." [Online]. Available: https://www.fortinet.com/content/dam/fortinet/assets/threat-reports/threat-landscape-report-2h-2023.pdf

Gartner Research, "Market Guide for AI Trust, Risk and Security Management," 16 January 2023. [Online]. Available: https://www.gartner.com/en/documents/4022879

Ehtesham Hashmi, Muhammad Mudassar Yamin & Sule Yildirim Yayilgan , "Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security," AI and Ethics, 30 July 2024. [Online]. Available: https://link.springer.com/article/10.1007/s43681-024-00529-z DOI: https://doi.org/10.1007/s43681-024-00529-z

McKinsey & Company, "The state of AI in early 2024: Gen AI adoption spikes and starts to generate value," McKinsey Digital, May 30, 2024. [Online]. Available: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai

Orca Security, "2024 State of AI Security Report," Orca Security Research, 2024. [Online]. Available: https://orca.security/lp/sp/ty-content-download-2024-state-of-ai-security-report/

AspenCore Studio Custom Creation, "Quantum Computing and the Future of AI," IoT Times, May 20, 2024. [Online]. Available: https://iot.eetimes.com/quantum-computing-and-the-future-of-ai/#:~:text=Quantum%20computers'%20ability%20to%20process,in%20real%2Dtime%20is%20critical.

Oral Mohan, "5G network AI models: Threats and Mitigations," Check Point, November 15, 2024. [Online]. Available: https://blog.checkpoint.com/artificial-intelligence/5g-network-ai-models-threats-and-mitigations/

Downloads

Published

28-11-2024

Issue

Section

Research Articles

How to Cite

[1]
Ramanathan Sekkappan, “AI in Network Security: Enhancing Protection in the Age of Automation”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 6, pp. 971–980, Nov. 2024, doi: 10.32628/CSEIT241061146.

Similar Articles

1-10 of 375

You may also start an advanced similarity search for this article.