TY - GEN
T1 - Comparative Analysis of Detection Techniques for Malicious Node Identification in Wireless Sensor Networks
AU - Gopalsamy, Mani
AU - Nidhya, M. S.
AU - Prasad, Pulicherla Siva
AU - Maram, Balajee
AU - Kalnoor, Gauri
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This research investigates the challenges of malicious node detection in Wireless Sensor Networks (WSNs). The study provides a comparative analysis of various detection techniques, including Trust-Based Mechanisms, Anomaly Detection, Reputation-Based Systems, Intrusion Detection Systems (IDS), Energy-Based Detection, and Hybrid Approaches. Each technique is evaluated based on its description, advantages, disadvantages, and common applications. The analysis highlights the tradeoffs between resource efficiency and detection accuracy, underscoring the need for adaptive and lightweight solutions to address the unique challenges of WSN security. This research provides valuable insights into the development of robust and secure WSNs, enabling their effective deployment in critical applications.
AB - This research investigates the challenges of malicious node detection in Wireless Sensor Networks (WSNs). The study provides a comparative analysis of various detection techniques, including Trust-Based Mechanisms, Anomaly Detection, Reputation-Based Systems, Intrusion Detection Systems (IDS), Energy-Based Detection, and Hybrid Approaches. Each technique is evaluated based on its description, advantages, disadvantages, and common applications. The analysis highlights the tradeoffs between resource efficiency and detection accuracy, underscoring the need for adaptive and lightweight solutions to address the unique challenges of WSN security. This research provides valuable insights into the development of robust and secure WSNs, enabling their effective deployment in critical applications.
UR - https://www.scopus.com/pages/publications/86000251867
UR - https://www.scopus.com/pages/publications/86000251867#tab=citedBy
U2 - 10.1109/ICUIS64676.2024.10866503
DO - 10.1109/ICUIS64676.2024.10866503
M3 - Conference contribution
AN - SCOPUS:86000251867
T3 - Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024
SP - 1500
EP - 1502
BT - Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024
Y2 - 12 December 2024 through 13 December 2024
ER -
