DDoS mitigation using blockchain and machine learning techniques

Online services are vulnerable to Distributed Denial of Service (DDoS) attacks, which overwhelm target servers with malicious traffic. These attacks are on the rise and challenging to detect due to their various forms, protocols, and the use of botnets. This paper presents a novel system that levera...

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Veröffentlicht in:	Multimedia tools and applications 2024-01, Vol.83 (21), p.60265-60278
Hauptverfasser:	A, Jawahar, P, Kaythry, C, Vinoth Kumar, R, Vinu, R, Amrish, K, Bavapriyan, V, Gopinaath
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Blockchain Computer Communication Networks Computer Science Continuous improvement Cybersecurity Data Structures and Information Theory Decision trees Denial of service attacks IP (Internet Protocol) Machine learning Multimedia Information Systems Real time Special Purpose and Application-Based Systems Virtual networks
Online-Zugang:	Volltext
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