doi: 10.18178/ijfcc.2016.5.2.452
Adaptive Detection of Hello Flood Attack in Wireless Sensor Networks
- Alzahra University, Iran.
Abstract
Hello Flood attack is a type of attack in wirelesssensor networks. In this attack, the malicious node is able todisturb the security of network by sending periodic hellopackets with high signal strength. In this research, an intrusiondetection system based on neighborhood is proposed. It is basedon a principle that those sensor nodes which are close to eachother spatially are tended to have similar behavior. If a nodeshows a significant difference in its behavior in comparison withother nodes in neighborhood, it is considered as a maliciousnode. For optimizing, the adaptive method filtering based onAlpha-Beta is used. For our simulation, we have used TOSSIMthesensor network simulator in TinyOS systems. Thesimulating result shows the detection method based onneighborhood has a high detection accuracy and low falsepositive rate. The proposed method also detects collusion attackof malicious nodes.
Keywords
- Wireless sensor network
- hello flood attack
- adaptive intrusion detection
- collusion attack
How to Cite
H. Khosravi, R. Azmi, and M. Sharghi, "Adaptive Detection of Hello Flood Attack in Wireless Sensor Networks," International Journal of Future Computer and Communication, vol. 5, no. 2, pp. 99-103, 2016. https://doi.org/ 10.18178/ijfcc.2016.5.2.452
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).




