Compressed Sensing-Based Clone Identification in Sensor Networks

Yu, Chia-Fu; Lu, Chun-Shien; Kuo, Sy‐Yen

doi:10.1109/twc.2016.2516021

Cited by 17 publications

(7 citation statements)

References 39 publications

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“…High and successful detection probability is the most significant performance metric for any clone detection protocol. However, most of the proposed clone detection protocols suffer from low detection probability with high cost in terms of communication and memory [29], [33], [36], [38], [41], [56], [58]. This study concludes that ''Detection Probability'', with a frequency of 20.59%, can be regarded as the third-significant challenge in the clone node detection mechanism.…”

Section: ) Detection Probabilitymentioning

confidence: 88%

A Systematic Review on Clone Node Detection in Static Wireless Sensor Networks

et al. 2020

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The recent state of the art innovations in technology enables the development of low-cost sensor nodes with processing and communication capabilities. The unique characteristics of these low-cost sensor nodes such as limited resources in terms of processing, memory, battery, and lack of tamper resistance hardware make them susceptible to clone node or node replication attack. The deployment of WSNs in the remote and harsh environment helps the adversary to capture the legitimate node and extract the stored credential information such as ID which can be easily reprogrammed and replicated. Thus, the adversary would be able to control the whole network internally and carry out the same functions as that of the legitimate nodes. This is the main motivation of researchers to design enhanced detection protocols for clone attacks. Hence, in this paper, we have presented a systematic literature review of existing clone node detection schemes. We have also provided the theoretical and analytical survey of the existing centralized and distributed schemes for the detection of clone nodes in static WSNs with their drawbacks and challenges. INDEX TERMS Wireless sensor networks (WSNs), clone attack, clone attack detection schemes, systematic literature review (SLR).

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Section: ) Detection Probabilitymentioning

confidence: 88%

A Systematic Review on Clone Node Detection in Static Wireless Sensor Networks

et al. 2020

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“…Clone attacks have attracted the attention of researchers, and there has been much effort on clone detection up to now [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. According to different features, we could classify them into different categories: centralized [12][13][14][15] or distributed [5][6][7][8][9][10][11][16][17][18], witness-based [5,[8][9][10][11][16][17][18] or not, position dependent [5, 8-11, 17, 18] or not, and the scheme is for randomly deployed [5][6][7][8][9][10][11][12][13][14][15][16] or group-deployed networks…”

Section: Related Workmentioning

confidence: 99%

“…The most common classification in the literature is based on centralized or distributed. For the centralized methods, the BS or sink is responsible for clone detection according to the information reported by nodes [12][13][14][15]. The advantages of these methods are that they have low overhead and high detection probability because of the comprehensive information.…”

Section: Related Workmentioning

confidence: 99%

“…The network lifetime is determined by the lifetime of the node in ring i which has the maximum communication load; therefore, the network lifetime using CDLR is expressed as Based on (18) and (15), the ratio of network lifetime using CDLR algorithm and LSM algorithm is obtained as shown in (14). Theorem 6.…”

Section: Communication Load and Network Lifetime Analysismentioning

confidence: 99%

“…The comparison of network lifetime using CDLR, LSM, and ERCD and their ratio under the same conditions with different parameters is shown in Figures 4-6 according to (18), (15), (20), (14), and (19), respectively.…”

Section: Communication Load and Network Lifetime Analysismentioning

confidence: 99%

See 2 more Smart Citations

A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks

Zhong

Zhu

et al. 2018

Journal of Sensors

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Wireless sensor networks (WSNs) are facing the threats of clone attacks which can launch a variety of other attacks to control or damage the networks. In this paper, a novel distributed clone detection protocol with low resource expenditure is proposed for randomly deployed networks. The method consisting of witness chain establishment and clone detection route generation is implemented in the nonhotspot area of the network organized in a ring structure, which balances the resource consumption in the whole network. The witness chains and detection routes are in the centrifugal direction and circumferential direction, respectively, which can ensure the encounter of witnesses and detection routes of nodes with the same ID but different positions to detect clone attacks. Theoretical analysis demonstrates that the detection probability can be up to 1 with reliable witnesses. Moreover, both theoretical analysis and simulation results manifest that the proposed method can achieve better network lifetime and storage requirements with low resource expenditure and outperforms most methods in the literature.

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A Hyper Heuristic Localization Based Cloned Node Detection Technique Using GSA Based Simulated Annealing in Sensor Networks

Kumar¹,

Shanmugam

2017

Cognitive Computing for Big Data Systems Over IoT

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Compressed Sensing-Based Clone Identification in Sensor Networks

Cited by 17 publications

References 39 publications

A Systematic Review on Clone Node Detection in Static Wireless Sensor Networks

A Systematic Review on Clone Node Detection in Static Wireless Sensor Networks

A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks

A Hyper Heuristic Localization Based Cloned Node Detection Technique Using GSA Based Simulated Annealing in Sensor Networks

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