Abstract—Hello Flood attack is a type of attack in wireless
sensor networks. In this attack, the malicious node is able to
disturb the security of network by sending periodic hello
packets with high signal strength. In this research, an intrusion
detection system based on neighborhood is proposed. It is based
on a principle that those sensor nodes which are close to each
other spatially are tended to have similar behavior. If a node
shows a significant difference in its behavior in comparison with
other nodes in neighborhood, it is considered as a malicious
node. For optimizing, the adaptive method filtering based on
Alpha-Beta is used. For our simulation, we have used TOSSIMthe
sensor network simulator in TinyOS systems. The
simulating result shows the detection method based on
neighborhood has a high detection accuracy and low false
positive rate. The proposed method also detects collusion attack
of malicious nodes.
Index Terms—Wireless sensor network, hello flood attack,
adaptive intrusion detection, collusion attack.
The authors are with Alzahra University, Iran (e-mail:
hasti_khosravi67@yahoo.com, azmi@alzahra.ac.ir,
msharghi@alzahra.ac.ir).
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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.
