In this paper, we aimed to build the Abnormal Behavior Profiling (ABP) of IoT devices to supplement other studies that focused on the abnormal behavior ...
The Abnormal Behavior Profiling (ABP) of IoT devices was constructed and proposed on the basis of a k-Means algorithm with 10 clusters and the results ...
In this paper, we aimed to build the Abnormal Behavior Profiling (ABP) of IoT devices to supplement other studies that focused on the abnormal behavior ...
Abnormal behavior profiling of IoT devices was performed in [68] by considering four factors including temperature, humidity, light, and voltage. The data was ...
In this paper, we aimed to build the Abnormal Behavior Profiling (ABP) of IoT devices to supplement other studies that focused on the abnormal behavior ...
With this method, we utilize specialized deep learning (DL) methods to detect abnormal and/or suspect behavior in IoT systems. LSTM RNNs are adopted in order to ...
A study conducted in 2017 sought to build the abnormal behavior profiling of IoT devices using machine learning. Abnormal behavior profiling is important ...
People also ask
What is a behavior based device identification method for the IoT?
What is IoT with machine learning?
This survey paper focuses on reviewing recent developments in applying artificial intelligence to intrusion detection in the IoT domain.
ProFiOt: Abnormal Behavior Profiling (ABP) of IoT devices based on a machine learning approach · Classification of device behaviour in internet of things ...
In [53], the authors build the Abnormal Behavior Profiling (ABP) of IoT devices to support ML-based abnormal behavior detection in IoT.