Anomaly Detection in Internet of Things Using Classification Techniques

Abstract

Abstract–The vulnerability of Internet of things (IoT) to attacks has become a problem. As the security concerns
for these IoT devices become much more difficult,an intrusion detection system for each and every IoT device will 
become cumbersome as it is not a cost-effective solution. Hence, a centralized anomaly detection system is proposed 
in which some of the most famous classification algorithms are implementedand evaluated for the chosen data sets.