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DL-Powered Anomaly Identification System for Enhanced IoT Data Security
Manjur Kolhar
,
Sultan Mesfer Aldossary
Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
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Computer Science
Anomaly Detection
20%
Attention (Machine Learning)
20%
Convolutional Neural Network
30%
Data Security
100%
Decision-Making
10%
Deep Learning Method
100%
Internet of Things Device
10%
Internet-Of-Things
100%
Intrusion Detection System
20%
Long Short-Term Memory Network
50%
Memory Model
30%
Neural Network Model
10%
Outlier Detection
10%
Suspicious Activity
10%
System Identification
100%
Engineering
Anomaly Detection
30%
Convolutional Neural Network
40%
Data Security
100%
Deep Learning Method
100%
Internet of Things Device
10%
Internet-Of-Things
100%
Intrusion Detection System
20%
Long Short-Term Memory
50%
Network Model
10%
Operating Area
10%
Receiver Operating Characteristic
10%