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Lightweight collaborative anomaly detection for the IoT using blockchain
Yisroel Mirsky
, Tomer Golomb
,
Yuval Elovici
Deutsche Telekom Innovation Laboratories
Research output
:
Contribution to journal
›
Article
›
peer-review
53
Scopus citations
Overview
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Keyphrases
Internet of Things
100%
Blockchain
100%
Collaborative Anomaly Detection
100%
Anomaly Detection Model
100%
Anomaly Detection
50%
Internet of Things Devices
50%
Attacker
25%
Vulnerability
25%
Daily Life
25%
Rapid Growth
25%
Distributed Environment
25%
Benign Behavior
25%
Training Phase
25%
Attestation
25%
Simulation Platform
25%
Rapid Deployment
25%
Distributed Internet of Things
25%
Adversarial Attack
25%
Unsupervised Techniques
25%
Blockchain Framework
25%
Raspberry
25%
Lightweight Framework
25%
Computer Science
Internet of Things
100%
Anomaly Detection
100%
Blockchain
100%
Internet of Things Device
28%
Attackers
14%
Distributed Environment
14%
Training Phase
14%
Adversarial Machine Learning
14%
Unsupervised Technique
14%