A Lightweight Anomaly Detection Model using SVM for WSNs in IoT through a Hybrid Feature Selection Algorithm based on GA and GWO
1. 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 , Winter and Spring 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