Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-Based Systems

Blockchain technology is rapidly changing the transaction behavior and efficiency of businesses in recent years. Data privacy and system reliability are critical issues that is highly required to be addressed in Blockchain environments. However, anomaly intrusion poses a significant threat to a Bloc...

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Veröffentlicht in:	IEEE internet of things journal 2022-08, Vol.9 (16), p.14741-14751
Hauptverfasser:	Liang, Wei, Xiao, Lijun, Zhang, Ke, Tang, Mingdong, He, Dacheng, Li, Kuan-Ching
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical models Anomaly detection Blockchain Cluster analysis Clustering Clustering algorithms Collaboration Cryptography data fusion Data integration Data models Intrusion Intrusion detection Mathematical models Nodes Security similarity matching System reliability weighted combination
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