Abstract
A flooding attack in wireless sensor networks is a type of threat that shortens the lifetimes of the sensor networks. Although flooding attack prevention techniques have been proposed, if a continuous flooding attack occurs, the sensor node energy is depleted during detection. In this paper, we use multi-path routing to solve this problem. In order to balance the load of the sensor node, energy balancing of the sensor node is controlled by determining the number of pathways using fuzzy logic. By adjusting the energy balancing of the sensor nodes, the number of energy-exhausting sensor nodes can be reduced. As a result, when a flooding attack occurs, the energy efficiency of the sensor node is increased by determining the number of pathways.
Highlights
Wireless sensor networks (WSNs) consist of a number of small sensor nodes that detect various types of information, such as temperature, sound, and vibration
flooding attack prevention (FAP) leads to energy depletion in lowenergy sensor nodes during the flooding attack detection process
We propose a scheme to increase the energy efficiency of sensor nodes by determining the number of paths through fuzzy logic
Summary
Wireless sensor networks (WSNs) consist of a number of small sensor nodes that detect various types of information, such as temperature, sound, and vibration. If the number of energy-exhausted sensor nodes is large, shadowed areas occur and network life is shortened. Attackers can use a compromised node to attempt other attacks, such as selective forwarding attacks, sinkhole attacks, and Sybil attacks Among these types of attacks, flooding attacks shortens the lifetime of the sensor network. A large amount of energy is consumed in the sensor node during the destination detection process of the AODV protocol. For this reason, the energy of a low-energy sensor node in the detector can be exhausted during the flooding attack detection process. In order to distribute the load of the sensor nodes efficiently, we propose a method that uses a fuzzy system to determine the number paths. Our conclusions and suggested future research are presented
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