Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2024 International Conference on Decision Aid Sciences and Applications (DASA) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350369106 |
| ISBN (Print) | 979-8-3503-6911-3 |
| DOIs | |
| Publication status | Published - 17 Jan 2025 |
| Event | 2024 International Conference on Decision Aid Sciences and Applications (DASA) - Manama, Bahrain Duration: 11 Dec 2024 → 12 Dec 2024 |
Conference
| Conference | 2024 International Conference on Decision Aid Sciences and Applications (DASA) |
|---|---|
| Country/Territory | Bahrain |
| City | Manama |
| Period | 11/12/24 → 12/12/24 |
Keywords
- Artificial Neural Networks (ANNs)
- Computational Intelligence (CI)
- Intrusion Detection System (IDS)
- Particle Swarm Optimization (PSO)
- Wireless Sensor Networks (WSNs)