Intrusion Detection in IoT With Logistic Regression and Artificial Neural Network: Further Investigations on N-BaIoT Dataset Devices
1. Intrusion Detection in IoT With Logistic Regression and Artificial Neural Network: Further Investigations on N-BaIoT Dataset Devices

Fereshteh Abbasi; Marjan Naderan; Seyyed Enayatallah Alavi

Volume 8, Issue 2 , July 2021, , Pages 27-42

http://dx.doi.org/10.22108/jcs.2021.129807.1077

Abstract
  Due to the increasing development and applications of the Internet of Things (IoT), detection and prevention of intruders into the network and devices has gained much attention in the ...  Read More
A Lightweight Anomaly Detection Model using SVM for WSNs in IoT through a Hybrid Feature Selection Algorithm based on GA and GWO
2. A Lightweight Anomaly Detection Model using SVM for WSNs in IoT through a Hybrid Feature Selection Algorithm based on GA and GWO

Azam Davahli; mahboubeh shamsi; Golnoush Abaei

Volume 7, Issue 1 , January 2020, , Pages 63-79

http://dx.doi.org/10.22108/jcs.2020.119468.1033

Abstract
  As a result of an incredibly fast growth of the number and diversity of smart devices connectable to the internet, commonly through open wireless sensor networks (WSNs) in internet ...  Read More