An efficient tree-based clone detection scheme in wireless sensor network

Lalar, Sachin; Bhushan, S.; Surender,

doi:10.1080/02522667.2019.1637998

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Moreover, all nodes in the network are aware of their geographical locations. Also, once the deployment phase is completed, nodes with new ids are not allowed to join the network [19,20]. Communication between a base station and other network nodes takes place through intermediary nodes.…”

Section: System Model and Assumptionsmentioning

confidence: 99%

Intelligent Multilevel Node Authentication in Mobile Computing Using Clone Node

Malhotra¹,

Bala²

2022

Computers, Materials &Amp; Continua

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Nodes in a mobile computing system are vulnerable to clone attacks due to their mobility. In such attacks, an adversary accesses a few network nodes, generates replication, then inserts this replication into the network, potentially resulting in numerous internal network attacks. Most existing techniques use a central base station, which introduces several difficulties into the system due to the network's reliance on a single point, while other ways generate more overhead while jeopardising network lifetime. In this research, an intelligent double hashing-based clone node identification scheme was used, which reduces communication and memory costs while performing the clone detection procedure. The approach works in two stages: in the first, the network is deployed using an intelligent double hashing procedure to avoid any network collisions and then in the second, the clone node identification procedure searches for any clone node in the network. This first phase verifies the node prior to network deployment, and then, whenever a node wants to interact, it executes the second level of authentication. End-to-end delay, which is bound to increase owing to the injection of clone nodes, and packet loss, which is reduced by the double hashing technique, were used to evaluate the performance of the aforementioned approach.

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Section: System Model and Assumptionsmentioning

confidence: 99%

Intelligent Multilevel Node Authentication in Mobile Computing Using Clone Node

Malhotra¹,

Bala²

2022

Computers, Materials &Amp; Continua

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“…Therefore, due to the mobility characteristics, it is very difficult to isolate the original MWSN node. [22] A diagram of a wireless sensor network is presented in Figure 1. In this figure, clone node A replicates on the network.…”

Section: Clone Node Attackmentioning

confidence: 99%

Exploration of Detection Method of Clone Attack in Wireless Sensor Network

Lalar*¹,

Bhushan²,

A.P.³

2019

IJRTE

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Wireless sensor networks have a lot of sensor nodes that are small, cheap and resource-constraints, but are often used to perform various monitoring operations in unmanned and demanding environments. Networks are vulnerable to different application-based and application-independent attacks. We examine node replication attacks, which are typical threats in the sensor network. In this attack, the enemy generates its own sensor node using stealing sensor from network. The attacker physically occupies the node, takes his secret credentials, and duplicates a large number of nodes with some controlled counterparts. The defense against clone node attacks has become an important research element in the safety of the sensor network. In this study, we classify and examine the different proposals in each category. We also compare the memory and communication cost of different clone node detection approach.

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“…In addition, (Xu and Liu, 2017) in their research, applied WSN to monitor water quality with parameters such as water temperature, PH value, and oxygen solubility. Moreover, WSNs can be used in monitoring systems (Lalar et al, 2019), transportation (Aguirre et al, 2016), healthcare (Yao et al, 2019), etc. This shows that the scope of WSN is quite broad and covers all aspects of life.…”

Section: Introductionmentioning

confidence: 99%

Strengthening the Integrity of Forwarding First Communication Using Forward Key Chain and Bloom Filter in the Wireless Sensor Networks

Ramadhan¹,

Afianti²,

Wahyudi³

et al. 2023

Journal of Computer Science

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Wireless Sensor Networks (WSNs) are collections of sensor nodes that can help people monitor things wirelessly, replacing the need for human presence in hard-to-reach areas. While forwarding first communication reduces communication delays among the sensor nodes, it lacks a security mechanism. Since sensor nodes have limited resources, using complex security measures can shorten their lifetime. This study proposes a protocol modification for forwarding first communication using a forward keychain and Bloom Filter Vector (BFV). The sender is required to send a BFV in every message exchange. The process of sending the BFV is separated to increase the size of the message payload in each communication. The results show that while the communication overhead and verification time increase to an acceptable level, the message payload is larger and message integrity is guaranteed.

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An efficient tree-based clone detection scheme in wireless sensor network

Cited by 8 publications

References 12 publications

Intelligent Multilevel Node Authentication in Mobile Computing Using Clone Node

Intelligent Multilevel Node Authentication in Mobile Computing Using Clone Node

Exploration of Detection Method of Clone Attack in Wireless Sensor Network

Strengthening the Integrity of Forwarding First Communication Using Forward Key Chain and Bloom Filter in the Wireless Sensor Networks

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