Abstract
In recent years, to examine the energy and security of the nodes that make up an Internet of Things (IoT) network is important. However, because of the limited resources, it is impossible to build a system that is 100% safe. An IDS is used to check all incoming traffic and identify network intrusions in WSN and IoT communication networks. It is also feasible for an attacker to steal sensors from an IoT network. To guarantee the safety of the WSN and IoT, an effective IDs system must be designed. As a result, SFLA-ALO is proposed in this study to identify intruders for WSN-IOT in order to safeguard against damaging malicious assaults. The suggested SFLA-ALO surpasses the previous systems in terms of throughput, detection rate, energy usage, and delay. MATLAB was used to assess these instances, which clearly beats existing detection systems.
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