On Feature Selection Techniques for Detecting DoS Attacks with a Multi-class Classifier
Iuri A. Mundstock,
Yuri Santo,
Thiago L. T. da Silveira
et al.
Abstract:In a hyperconnected society, computer networks play a pivotal role in all activities that permeate our daily lives. In the context of smart cities, theses networks play a pivotal role in enhancing urban efficiency and sustainability. The continuous flow of packets in these networks poses security challenges, from personal data leakage to service unavailability. Anomaly-based methods are commonly used to detect network attacks. In this context, Software-Defined Networking (SDN) emerges as a solution for anomaly… Show more
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