Detection of reduction-of-quality DDoS attacks using Fuzzy Logic and machine learning algorithms

Distributed Denial of Service (DDoS) attacks are still among the most dangerous attacks on the Internet. With the advance of methods for detecting and mitigating these attacks, crackers have improved their skills in creating new DDoS attack types with the aim of mimicking normal traffic behavior the...

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Veröffentlicht in:	Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2021-02, Vol.186, p.107792, Article 107792
Hauptverfasser:	Rios, Vinícius de Miranda, Inácio, Pedro R.M., Magoni, Damien, Freire, Mário M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Back propagation Back propagation networks Classification Communications traffic Computer Science Cryptography and Security Datasets DDoS attack Denial of service attacks Euclidean geometry Fuzzy logic Low level Low-rate DDoS attack Machine learning Machine learning algorithms Multilayers Networking and Internet Architecture Neural networks Reduction-of-Quality DDoS attack Security management Support vector machines
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