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IoT Device Fingerprinting for Anomaly Detection · Peerford

conference paper · Publication · 2024

IoT Device Fingerprinting for Anomaly Detection

Justice Owusu Agyemang, Sylvester Junior Ampomah, Awumee Gabriel Selorm, Richard Somda Vinkpedomeh, Patience Berko

Lecture notes on data engineering and communications technologies

Closed access

Go to the publisher 10.1007/978-3-031-80817-3_6

Citations: 0from other works
Field-weighted impact: 0.001.00 is the world average for its field and year
Among its field: 33rd percentileby citations, against works of its field and year
Authors: 5from 1 institution

Authors

5 authors

Justice Owusu AgyemangFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Sylvester Junior Ampomah
- Kwame Nkrumah University of Science and Technology (GH)
Awumee Gabriel Selorm
- Kwame Nkrumah University of Science and Technology (GH)
Richard Somda Vinkpedomeh
- Kwame Nkrumah University of Science and Technology (GH)
Patience BerkoSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Country

Ghana

Fields

A work can sit in several, each with a score

Advanced Malware Detection TechniquesTopic
Digital Media Forensic DetectionTopic
Anomaly Detection Techniques and ApplicationsTopic