Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural-driven multiagent system

Title
Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural-driven multiagent system
Authors
Keywords
Anomaly detection, Activity footprints, Multiagent systems, Word embedding, Bio-inspired model, Internet of Things
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 228, Issue -, Pages 107241
Publisher
Elsevier BV
Online
2021-06-17
DOI
10.1016/j.knosys.2021.107241

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