Abstract
Due to the unattended nature and poor security guarantee of the wireless sensor networks (WSNs), adversaries can easily make replicas of compromised nodes, and place them throughout the network to launch various types of attacks. Such an attack is dangerous because it enables the adversaries to control large numbers of nodes and extend the damage of attacks to most of the network with quite limited cost. To stop the node replica attack, we propose a location similarity-based detection scheme using deployment knowledge. Compared with prior solutions, our scheme provides extra functionalities that prevent replicas from generating false location claims without deploying resource-consuming localization techniques on the resource-constraint sensor nodes. We evaluate the security performance of our proposal under different attack strategies through heuristic analysis, and show that our scheme achieves secure and robust replica detection by increasing the cost of node replication. Additionally, we evaluate the impact of network environment on the proposed scheme through theoretic analysis and simulation experiments, and indicate that our scheme achieves effectiveness and efficiency with substantially lower communication, computational, and storage overhead than prior works under different situations and attack strategies.
Highlights
Low-power wireless sensor networks (WSNs) are known to be capable of rapid deployment in large geographical area in a self-organized manner, which makes them suitable for real-time large-scale data collection and event monitoring for mission-critical applications, such as border monitoring, target tracing, and in-network aggregation
To address the limitation of the localization based replica detection schemes, we propose a novel detection metric named location similarity based on neighborhood relationship knowledge
We have proposed a collaborative replica detection scheme for sensor networks that takes
Summary
Low-power wireless sensor networks (WSNs) are known to be capable of rapid deployment in large geographical area in a self-organized manner, which makes them suitable for real-time large-scale data collection and event monitoring for mission-critical applications, such as border monitoring, target tracing, and in-network aggregation. In such applications, the sensors are deployed in a hostile environment with potential security threats. Since in most cases WSNs are remotely administrated by the network operator, the sensor nodes are often deployed in an unattended manner. In recent years a large amount of research efforts [1,2,3,4,5] focus on the security issues of WSNs and their corresponding fields
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