Role of Artificial Intelligence in Enhancing Network Security: A comprehensive analysis

Authors

  • Sardar Zafar Iqbal
  • Aqsa Noor pu
  • Amna Batool Karelia university of applied science, finland

Keywords:

AI in Network Security, Cybersecurity Innovation, Methodologies and Algorithms,Comparative Assessment,Emerging Trends.

Abstract

Network security holds unprecedented importance in the current digital era as organizations face escalating cyber threats. This systematic review explores the pivotal role of artificial intelligence in stimulating network security, addressing the pressing need for innovative solutions to safeguard sensitive information and critical systems in an era where cybersecurity is paramount. Through a particular analysis of existing literature, the study aims to provide a comprehensive overview of the several methodologies, algorithms, and implementations employed in leveraging AI for enhancing network security measures. The comparative assessment of various approaches unveils emerging trends, strengths, and potential limitations, offering valuable insights for practitioners and researchers. As the cybersecurity landscape evolves, AI's pivotal role in augmenting the efficiency and adaptability of network security becomes increasingly apparent. The abstract encapsulates the essence of the systematic review, emphasizing its significance in advancing our understanding of how AI technologies contribute to the resilience and effectiveness of contemporary network security frameworks.

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Published

2023-12-31

How to Cite

Role of Artificial Intelligence in Enhancing Network Security: A comprehensive analysis. (2023). International Journal of Advanced Sciences and Computing, 2(2), 1-7. http://ijasc.com/index.php/ijasc/article/view/46

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