• Ashita Dixit
• Pallavi Bagde
• Pooja Hardiya

The cybersecurity landscape is characterized by its dynamic, complex, and uncertain nature. Traditional rule-based and signature-based security systems often struggle with the inherent ambiguities of network traffic, user behavior, and evolving threats, leading to high rates of false positives and negatives. This paper proposes that Fuzzy Logic, a powerful paradigm for reasoning under uncertainty, offers a robust solution to these challenges. By enabling systems to deal with partial truths and degrees of membership, Fuzzy Logic can significantly enhance the accuracy, adaptability, and intelligence of cybersecurity defenses. This paper explores the fundamental concepts of Fuzzy Logic, identifies key areas within cybersecurity where it can be effectively applied (such as intrusion detection, malware analysis, and risk assessment), discusses the benefits it confers, and outlines the challenges and future directions for its broader adoption.

Cybersecurity, Fuzzy Logic, Fuzzy Inference System

"Advanced Cyber Security Using Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.b161-b167, November-2025, Available :http://www.jetir.org/papers/JETIR2511119.pdf

"Advanced Cyber Security Using Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppb161-b167, November-2025, Available at : http://www.jetir.org/papers/JETIR2511119.pdf