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What is DNS Attack Clustering with Swarm Intelligence about?

This paper investigates the use of semi-supervised learning and swarm intelligence algorithms, specifically Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC), for clustering Domain Name System (DNS) attack data. The study utilizes the Canadian Institute for Cybersecurity (CIC) dataset to evaluate the performance of various machine learning algorithms in detecting DNS vulnerabilities and improving security. Results indicate that hybrid algorithms combining Kmeans with PSO and ABC outperform t

Author

Anish Sharma

Language

EN