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The Role of AI in Enhancing Network Security
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
Abstract
The rapid digital transformation across various sectors has heightened the importance of robust network security. Traditional security measures, while effective to some extent, struggle to keep up with the evolving landscape of cyber threats, which include sophisticated attacks, zero-day vulnerabilities, and advanced persistent threats (APTs). This article explores the transformative role of Artificial Intelligence (AI) in enhancing network security. By leveraging AI technologies such as machine learning, deep learning, and natural language processing, organizations can achieve real-time threat detection, automated response to incidents, and adaptive fraud prevention. The article delves into AI-driven techniques like AI threat detection, behavior analysis, automated response systems, predictive analytics, and AI-enhanced authentication methods, demonstrating their effectiveness in mitigating cyber threats. Additionally, it addresses the challenges and limitations of deploying AI in network security, including technical constraints, ethical considerations, and potential adversarial attacks. Looking forward, the article discusses emerging trends and future developments in AI security measures for cybersecurity, highlighting the potential for AI-human collaboration in creating more resilient and proactive security systems. Through case studies and real-world applications, the article underscores the critical role of AI in shaping the future of network security.
Keywords
Network Security, Cybersecurity, Artificial Intelligence (AI), Machine Learning, Threat Detection, Advanced Persistent Threats (APTs).
How to cite this paper
@article{1706249,
author = {Anita Ogah Sodipe, Ndukwe Onyenaturuchi Abel, Humphrey Chisom Ntichika, Emmanuel Ephraim Daniel, Edward Idemudia Agboare},
title = {The Role of AI in Enhancing Network Security},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {8},
number = {3},
pages = {196-205},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1706249.pdf},
abstract = {The rapid digital transformation across various sectors has heightened the importance of robust network security. Traditional security measures, while effective to some extent, struggle to keep up with the evolving landscape of cyber threats, which include sophisticated attacks, zero-day vulnerabilities, and advanced persistent threats (APTs). This article explores the transformative role of Artificial Intelligence (AI) in enhancing network security. By leveraging AI technologies such as machine learning, deep learning, and natural language processing, organizations can achieve real-time threat detection, automated response to incidents, and adaptive fraud prevention. The article delves into AI-driven techniques like AI threat detection, behavior analysis, automated response systems, predictive analytics, and AI-enhanced authentication methods, demonstrating their effectiveness in mitigating cyber threats. Additionally, it addresses the challenges and limitations of deploying AI in network security, including technical constraints, ethical considerations, and potential adversarial attacks. Looking forward, the article discusses emerging trends and future developments in AI security measures for cybersecurity, highlighting the potential for AI-human collaboration in creating more resilient and proactive security systems. Through case studies and real-world applications, the article underscores the critical role of AI in shaping the future of network security.},
keywords = {Network Security, Cybersecurity, Artificial Intelligence (AI), Machine Learning, Threat Detection, Advanced Persistent Threats (APTs).},
month = {September},
}