A Computational Intelligence Inspired Framework for Intrusion Detection in WSN

In this growing world of technology, the wide range of uses of wireless sensor networks (WSNs), such as tracking the environment and keeping an eye on the military, makes them indispensable in many applications. However, due to their open nature and limited resources, WSNs have become an easy target for different security threats, like intrusion attempts. Intrusion detection systems (IDSs) protect WSNs from these threats. This research examines the intrusion detection methods for WSNs and focuses on those that use computational intelligence. This review explores the usefulness of different computational intelligence methods in detecting intrusions in WSNs. It also suggests areas where more research is needed and offers possible directions for further exploration.