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In the realm of network traffic management and security, the ever-evolving digital landscape has given rise to complex challenges. Fuzzy logic, known for its capacity to handle imprecise and uncertain data, offers a promising avenue to address these challenges. This paper delves into the application of fuzzy logic in anomaly detection and security enhancement for network traffic management. It explores how fuzzy logic can enable adaptive and nuanced decision-making, contributing to the resilience of network systems. The paper emphasizes the growing importance of fuzzy logic in modern network security and underscores its potential to revolutionize anomaly detection and security.

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Anomaly Detection and Security Enhancement in Network Traffic Management with Fuzzy Logic

  • 会议论文

  • 发表日期：

    2025年

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  • T. Pratyusha,
  • Ganapavarapu Surekha,
  • G. Lakshmi Praveena,
  • Pokuri Deepika,
  • T. Jyotsna,
  • R. Usha

摘要

In the realm of network traffic management and security, the ever-evolving digital landscape has given rise to complex challenges. Fuzzy logic, known for its capacity to handle imprecise and uncertain data, offers a promising avenue to address these challenges. This paper delves into the application of fuzzy logic in anomaly detection and security enhancement for network traffic management. It explores how fuzzy logic can enable adaptive and nuanced decision-making, contributing to the resilience of network systems. The paper emphasizes the growing importance of fuzzy logic in modern network security and underscores its potential to revolutionize anomaly detection and security.