TY - GEN
T1 - A Computational Intelligence Inspired Framework for Intrusion Detection in WSN
AU - Pandey, Vivek Kumar
AU - Prakash, Shiv
AU - Gupta, Tarun Kumar
AU - Yang, Tiansheng
AU - Singh, Abhishek
AU - Rathore, Rajkumar Singh
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2025/1/17
Y1 - 2025/1/17
N2 - 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.
AB - 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.
KW - Artificial Neural Networks (ANNs)
KW - Computational Intelligence (CI)
KW - Intrusion Detection System (IDS)
KW - Particle Swarm Optimization (PSO)
KW - Wireless Sensor Networks (WSNs)
UR - http://www.scopus.com/inward/record.url?scp=85217254841&partnerID=8YFLogxK
U2 - 10.1109/dasa63652.2024.10836284
DO - 10.1109/dasa63652.2024.10836284
M3 - Conference contribution
SN - 979-8-3503-6911-3
T3 - 2024 International Conference on Decision Aid Sciences and Applications (DASA)
SP - 1
EP - 4
BT - 2024 International Conference on Decision Aid Sciences and Applications (DASA)
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2024 International Conference on Decision Aid Sciences and Applications (DASA)
Y2 - 11 December 2024 through 12 December 2024
ER -