Abstract
One of the central communication infrastructures of the Internet of Things (IoT) is the IEEE 802.15.4 standard, which defines Low Rate Wireless Personal Area Networks (LR- WPAN). In order to share the medium fairly in a non-beacon-enabled mode, the standard uses Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA). The nature of connected objects with respect to various resource constraints makes them vulnerable to cyber attacks. One of the most aggressive DoS attacks is the greedy behaviour attack which aims to deprive legitimate nodes to access to the communication medium. The greedy or selfish node may violate the proper use of the CSMA/CA protocol, by tampering its parameters, in order to take as much bandwidth as possible on the network, and then monopolize access to the medium by depriving legitimate nodes of communication. Based on the analysis of the difference between parameters of greedy and legitimate nodes, we propose a method based on the threshold mechanism to identify greedy nodes. The simulation results show that the proposed mechanism provides a detection efficiency of 99.5%.
Highlights
The Internet of Things is considered as an industrial revolution in the world of computing
Based on the analysis of the difference between parameters of greedy and legitimate nodes, we propose a method based on the threshold mechanism to identify greedy nodes
While the greedy behaviour attack has been widely studied in IEEE 802.11 wireless networks, little work has been done in IEEE 802.15.4-based WSNs
Summary
The Internet of Things is considered as an industrial revolution in the world of computing. IoT [5], in certain critical fields such as the smart medicine IoMT (Internet of Medical Things) [6], military field, or industrial field in which the availability of information and network resources in real time are essential, and where QoS (Quality of Service) is a major requirement. A selfish node causes network saturation and degrades its quality of service by increasing collisions and lost packets, while impersonating a legitimate node The advantage of this method is that a greedy node can sleep most of time which allows him to maintain an acceptable battery level compared to the saturation of the entire network executed by a single node.
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