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Fuzzy IDS for DoS Attack Detection by HALO ACA is a document available to read on EtoBox.

What is Fuzzy IDS for DoS Attack Detection about?

The paper presents a fuzzy intrusion detection system (IDS) designed to improve the detection of denial-of-service (DoS) attacks by categorizing them based on a taxonomy of attack types. By utilizing fuzzy logic, the system addresses the challenges of distinguishing between normal and malicious network traffic, achieving a high detection rate of 99.91% with a significantly reduced false alarm rate. The proposed approach combines expert knowledge with machine intelligence, allowing for more nuanced detection

Author
HALO ACA
Language
EN