The MCD Protocol for Securing Wireless Sensor Networks against Nodes Replication Attacks

Khedim, Farah; Labraoui, Nabila

doi:10.1109/inds.2014.18

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Deployment of a localization scheme in the sensor node that has resource limitations is very expensive and it is difficult to provide accuracy in localization due to various WSN uncertainties. Also, the application of localization might bring additional threats to WSNs since the present localization methods may be vulnerable to security [24]. The proposed method in this article presents high security, and effective detection of replicas with less overhead of communication, computation and memory.…”

Section: Related Workmentioning

confidence: 99%

Deployment with Location Knowledge by Multi Area Approach for Detecting Replica Nodes in Wireless Sensor Network

2024

Teh. vjesn.

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The Wireless Sensor Network (WSN) is important for the safety of network security. Numerous scholars have documented fundamentally fundamental attacks of various kinds in the WSN up to now. Replica nodes are identified using a range of replica node identification techniques. Although the replica is certain as a witness node, these approaches have poor detection precision and incur overhead control. This paper looks at the Multi Area Method (MAA) Replica Identification with Deployment with Location Knowledge (DLK) used. Initially, the nodes are clustered together and routed via the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. Several forms of node duplication identification protocols have now been proposed. Moreover, a single failure point located in clustered protocols, dispersed replications, is never identified by local protocols. Geographical positions are identified by the distributed protocols needed for the nodes. Deployment information utilising the position cluster detection method is suggested to avoid a node replica strike. Based on the deployment performance, the suggested model is compared to Area Based Cluster move towards (ABCD) and Fingerprint-based detection techniques. The proposed methodology offers excellent performance compared with other standard methods. Moreover, the energy consumption for RN detection was only 34 kWh.The proposed work provides optimal results for existing attacking strategies in cases of high detection higher detection percentage with a minimized Delay and increased communication overhead.

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Section: Related Workmentioning

confidence: 99%

Deployment with Location Knowledge by Multi Area Approach for Detecting Replica Nodes in Wireless Sensor Network

2024

Teh. vjesn.

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“…Khedim et al [ 15 ] propose a mobile assistant clone detection (MCD) protocol aiming at mitigating the dependence on the GPS and beacon nodes. MCD is a hybrid protocol which uses patrol robots and honeypots for the node replication detection in static sensor networks to enhance the detection performance.…”

Section: Related Workmentioning

confidence: 99%

Localization-Free Detection of Replica Node Attacks in Wireless Sensor Networks Using Similarity Estimation with Group Deployment Knowledge

Ding

Yang

2017

Sensors

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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.

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Identifying Clone Nodes in Wireless Sensor Networks with Minimal Communication and Storage Capacity Requirements

Singh

Rana

Prabhakar

et al. 2022

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

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The MCD Protocol for Securing Wireless Sensor Networks against Nodes Replication Attacks

Cited by 5 publications

References 15 publications

Deployment with Location Knowledge by Multi Area Approach for Detecting Replica Nodes in Wireless Sensor Network

Deployment with Location Knowledge by Multi Area Approach for Detecting Replica Nodes in Wireless Sensor Network

Localization-Free Detection of Replica Node Attacks in Wireless Sensor Networks Using Similarity Estimation with Group Deployment Knowledge

Identifying Clone Nodes in Wireless Sensor Networks with Minimal Communication and Storage Capacity Requirements

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