Abstract
To address the vulnerability of geographic routing to multiple security threats such as false routing information, selective forwarding and the Sybil attack in wireless sensor networks, this paper proposes a trust-based defending model against above-mentioned multiple attacks. Considering the characteristics of resource-constrained sensor nodes, trust values of neighboring nodes on the routing path can be calculated through the Dirichlet distribution function, which is based on data packets' acknowledgements in a certain period instead of energy-consuming monitoring. Trust is combined with the cost of geographic and energy aware routing for selecting the next hop of routing. At the same time, the initial trust is dynamically determined, service requests are restricted for malicious nodes in accordance with trust values, and the impact of node mobility is weakened by the trust evolution. The simulation results and analysis show that the proposed model under multiple attacks has advantages in packet delivery ratio and network lifetime over the existing models.
Highlights
In recent years, wireless sensor networks (WSNs) have been widely developed and applied in environmental monitoring, smart home, medical health, etc. [1]
WSNs are self-organized dynamic multi-hop network systems, which consist of many low-cost microsensor nodes communicating with each other through wireless channels
Routing protocols for wireless sensor networks are often subject to the following types of attacks [7]: false routing information, selective forwarding, the Sybil attack, sinkhole attacks, wormholes, HELLO flood attacks, and acknowledgement spoofing
Summary
Wireless sensor networks (WSNs) have been widely developed and applied in environmental monitoring, smart home, medical health, etc. [1]. Neighboring nodes’ trust values are calculated by the Dirichlet distribution based on counting the number of successful, uncertain, and failed forwarding behaviors weighted by the importance of data packets. To judge a node’s forwarding behaviors based on data packets’ acknowledgements and calculate the neighboring nodes’ trust values, we add the support for acknowledgements to the source node in the existing GEAR protocol.
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