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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
binary particle swarm optimization
biblio
Detection of Adversary Nodes in Machine-To-Machine Communication Using Machine Learning Based Trust Model
Submitted by grigby1 on Fri, 06/19/2020 - 11:48am
security
MLBT evaluation model
particle swarm optimisation
Peer-to-peer computing
policy-based governance
Policy-Governed Secure Collaboration
pubcrawl
resilience
Resiliency
Scalability
Metrics
security solutions
security threats
Supervisory Control and Data Supervisory Acquisition (SCADA)
telecommunication security
Trusted Computing
VBM2M-C network
vehicular ad hoc networks
vehicular based M2M-C network
XGBoost model
Internet of Things (IoTs)
advsersary node detection
binary particle swarm optimization
Computational modeling
Entropy
entropy based feature engineering
extreme gradient boosting model
false trust
feature extraction
Human behavior
Adversary Models
Internet of Vehi-cles(IoVs)
learning (artificial intelligence)
machine learning
Machine Learning Based Trust (MLBT)
machine learning based trust evaluation model
machine-to-machine (M2M)
machine-to-machine communication
machine-to-machine communications
malicious activity detection
