Retraction Note to: Novel Sybil attack detection using RSSI and neighbour information to ensure secure communication in WSN

Angappan, Arthanareeswaran; Saravanabava, T. P.; Sakthivel, P.; Vishvaksenan, K. S.

doi:10.1007/s12652-022-04070-x

Cited by 2 publications

(31 citation statements)

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“…The TDR of DTMS is 2.2% and 1.14% greater than [3] and NoSad [4], respectively in the presence of 2 SaN. Moreover, the TDR of DTMS is 3.3% and 1.1% greater than [3] and NoSad [4], respectively, in the presence of 3 SaN. Furthermore, the TDR of DTMS is 0.1% and .01% greater than [3] and NoSad [4], respectively, in the presence of 7 SaNs.…”

Section: I) Severity Analysismentioning

confidence: 84%

“…Hence TDR increases and FDR decreases. The TDR of DTMS is 2.2% and 1.14% greater than [3] and NoSad [4], respectively in the presence of 2 SaN. Moreover, the TDR of DTMS is 3.3% and 1.1% greater than [3] and NoSad [4], respectively, in the presence of 3 SaN.…”

Section: I) Severity Analysismentioning

confidence: 87%

“…DTMS focuses on real-time detection of Sybil attacks and on-off attacks in WSNs through an efficient multi-level detection algorithm. It solves the limitations/shortcomings of the previous work [2][3][4][5] Moreover, it provides the comparative result analysis in terms of severity analysis, true detection rate and false detection rate, residual energy, packet loss rate, network lifetime, etc. The last section 5 presents the conclusion and future directions for developing an efficient trust model.…”

Section: Our Scientific Contributionmentioning

confidence: 99%

“…The proposed scheme requires collaboration of any two high energy nodes to analyze received signal strengths of neighboring nodes." Angappanet et al [4] proposed a protocol (NoSad) to detect and isolate the Sybil node using an intra-cluster communication and RSSI value in a static WSN. The scheme utilizes fewer resources hence can be used in resource-constrained WSN.…”

Section: Related Workmentioning

confidence: 99%

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DTMS: A Dual Trust-based Multi-level Sybil Attack Detection Approach in WSNs

Khan

Singh

2023

Preprint

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Sensor network has been proven a promising technology for discerning data as well as details about the physical world. The sensor nodes are organized and positioned in an inaccessible and hostile environment and are consequently susceptible to various security attacks. Among the multiple attacks possible in any WSN, the Sybil attack is the most severe kind of attack. Detection of a Sybil node is a complex as well as challenging problem since it illegitimately uses multiple fraudulent identities to misguide and collapse the network. The paper proposes a dual trust-based multi-level Sybil (DTMS) attack detection approach in WSNs. The work engages a multi-level detection system grounded on verification of the node’s identity and location. Later, at each level, CM, CH, and BS, the trust value is calculated. For a satisfactory level of trust value, communication trust is calculated together with data trust. The trust function of DTMS involves dynamic reward and penalty coefficient to ensure severity. Besides, data aggregation is employed, which contributes to lesser communication overhead and energy consumption. The performance evaluation of DTMS is measured in terms of severity of trust function, true detection rate, false detection rate, residual energy, network lifetime, and packet loss ratio. The simulation results validate that DTMS can efficaciously detect Sybil nodes. Experiment results show that the proposed algorithm can detect [[EQUATION]] of Sybil nodes in the malicious environment. Additionally, the DTMS is compared with recent existing schemes in terms of various parameters (True Detection Rate, False Detection Rate, energy consumption, packet loss rate, number of alive nodes, etc.) which show that the DTMS performs desirably.

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Section: I) Severity Analysismentioning

confidence: 84%

Section: I) Severity Analysismentioning

confidence: 87%

Section: Our Scientific Contributionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

DTMS: A Dual Trust-based Multi-level Sybil Attack Detection Approach in WSNs

Khan

Singh

2023

Preprint

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“…Also, the enemy is actively engaged in eavesdropping by being present in all parts of the mobile sensor network [32] [33]. The enemy is able to identify the location of all radio communications at the location of the network [34]. While the enemy monitors the traffic, we assume that the cryptographic system is robust enough so that the enemy cannot use the cryptographic system analysis to retrieve the contents of the body or header.…”

Section: B-problem Formulationmentioning

confidence: 99%

A Novel Approach for Establishing Connectivity in Partitioned Mobile Sensor Networks using Beamforming Techniques

Mirzaei¹,

Zandian²

2022

jist

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Network connectivity is one of the major design issues in the context of mobile sensor networks. Due to diverse communication patterns, some nodes lying in high-traffic zones may consume more energy and eventually die out resulting in network partitioning. This phenomenon may deprive a large number of alive nodes of sending their important time critical data to the sink. The application of data caching in mobile sensor networks is exponentially increasing as a highspeed data storage layer. This paper presents a deep learning-based beamforming approach to find the optimal transmission strategies for cache-enabled backhaul networks. In the proposed scheme, the sensor nodes in isolated partitions work together to form a directional beam which significantly increases their overall communication range to reach out a distant relay node connected to the main part of the network. The proposed methodology of cooperative beamforming-based partition connectivity works efficiently if an isolated cluster gets partitioned with a favorably large number of nodes. We also present a new cross-layer method for link cost that makes a balance between the energy used by the relay. By directly adding the accessible auxiliary nodes to the set of routing links, the algorithm chooses paths which provide maximum dynamic beamforming usage for the intermediate nodes. The proposed approach is then evaluated through simulation results. The simulation results show that the proposed mechanism achieves up to 30% energy consumption reduction through beamforming as partition healing in addition to guarantee user throughput.

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Retraction Note to: Novel Sybil attack detection using RSSI and neighbour information to ensure secure communication in WSN

Cited by 2 publications

References 0 publications

DTMS: A Dual Trust-based Multi-level Sybil Attack Detection Approach in WSNs

DTMS: A Dual Trust-based Multi-level Sybil Attack Detection Approach in WSNs

A Novel Approach for Establishing Connectivity in Partitioned Mobile Sensor Networks using Beamforming Techniques

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