HyperLedger Fabric-Based Proactive Defense against Inside Attackers in the WSN With Trust Mechanism

Cho, Kyeongsun; Cho, Young-Ho

doi:10.3390/electronics9101659

Cited by 7 publications

(7 citation statements)

References 34 publications

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“…The scheme in [30] The scheme in [31] The scheme in [29] MSTW The scheme in [30] The scheme in [31] The scheme in [29] MSTW Figure 7: The coverage of different schemes in [29][30][31]. 10 Wireless Communications and Mobile Computing…”

Section: Discussionmentioning

confidence: 99%

“…The trustworthiness is an emerging security technology based on network dynamic parameters, which can estimate the level of network security in HWSNs. The problems of node integrity and authentication are addressed utilizing the trustworthiness in [7][8][9][10]. The investigations and studies have shown that the recommended trust and the dynamic network information of the current node can effectively evaluate the node security level.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Privacy‐Preserving Mobile‐Coverage Scheme Based on Trustworthiness in HWSNs

Huang

Wang

et al. 2021

Wireless Communications and Mobile Computing

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To solve the problem of security deployment in a hybrid wireless sensor network, a novel privacy-preserving mobile coverage scheme based on trustworthiness is proposed. The novel scheme can efficiently mitigate some malicious attacks such as eavesdropping and pollution and optimize the coverage of hybrid wireless sensor networks (HWSNs) at the same time. Compared with the traditional mobile coverage scheme, the security of data transmission and mobility are considered in the deployment of HWSNs. Firstly, our scheme can mitigate the eavesdropping attacks efficiently utilizing privacy-preserving signature. Then, the trust mobile protocol based on the trustworthiness is used to defend the pollution attacks and improve the security of mobility. In privacy-preserving signature, the hardness of discrete logarithm determines the degree of security of the privacy-preserving signature. The correctness and effectiveness of signature algorithm are proven by the probabilities of the native messages which can be recovered and forged which is negligible. Furthermore, a mobile scheme based on the trustworthiness (MSTW) is proposed to optimize the network coverage and improve the security of mobility. Finally, the simulation compared with a previous algorithm is carried out, in which the communication overhead, computational complexity, and the coverage are given. The result of the simulation shows that our scheme has roughly the same network coverage as the previous schemes on the basis of ensuring the security of the data transmission and mobility.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Privacy‐Preserving Mobile‐Coverage Scheme Based on Trustworthiness in HWSNs

Huang

Wang

et al. 2021

Wireless Communications and Mobile Computing

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“…Figure (1) demonstrates how WSN can be utilized for detecting intrusions. Sensor nodes (SN), cluster heads (CH), and sink nodes (sink) are all types of nodes in a such network [29,30]. To reduce communication burden and energy consumption, this network employs distributed intrusion detection.…”

Section: Wsn Intrusion Detection Architecturementioning

confidence: 99%

Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning

Saleh,

Marouane,

Fakhfakh

2024

IEEE Access

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Communication in cyber-physical systems relies heavily on Wireless Sensor Networks (WSNs), which have numerous uses including ambient monitoring, object recognition, and data transmission. However, they are vulnerable to cyberattacks because they are connected to the IoT. In order to combat the difficulties associated with WSN intrusion detection, this research employs machine learning techniques, notably the Gaussian Nave Bayes (GNB) and Stochastic Gradient Descent (SGD) algorithms. The effectiveness of recommendation systems is improved with the introduction of context awareness. To lessen the burden on the computer, we first do a principal component analysis and singular value decomposition on the raw traffic data. The system was tested on two datasets, yielding extremely high accuracy results. This is evidence of the system's strength, even when the dataset is changed. On the WSN-DS dataset, the suggested SG-IDS model achieved a 96% accuracy rate, outperforming state-of-the-art algorithms with higher rates of 98% accuracy, 96% recall, and 97% F1-measurement. In an evaluation on an IoMT dataset, the SG-IDS performed admirably, with an accuracy of 0.87 and a precision of 1.00 in intrusion detection tasks.

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“…The so-called insider packet drop attacks refer to a set of attacks where compromised nodes intentionally drop packets [1,2]. These attacks have become a serious security threat in WSNs [1,[3][4][5][6][7]. A well-positioned attacker can be on the routing path of many nodes and thus receive many data packets.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Trust Model against Insider Packet Drop Attacks in Wireless Sensor Networks

Cho

2023

Sensors

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Quick and accurate detection of inside packet drop attackers is of critical importance to reduce the damage they can have on the network. Trust mechanisms have been widely used in wireless sensor networks for this purpose. However, existing trust models are not effective because they cannot distinguish between packet drops caused by an attack and those caused by normal network failure. We observe that insider packet drop attacks will cause more consecutive packet drops than a network abnormality. Therefore, we propose the use of consecutive packet drops to speed up the detection of inside packet drop attackers. In this article, we describe a new trust model based on consecutive drops and develop a hybrid trust mechanism to seamlessly integrate the new trust model with existing trust models. We perform extensive OPNET (Optimized Network Engineering Tool) simulations using a geographic greedy routing protocol to validate the effectiveness of our new model. The simulation results show that our hybrid trust model outperforms existing trust models for all types of inside packet drop attacks, not only in terms of detection speed and accuracy as it is designed for, but also in terms of other important network performance metrics, such as packet delivery rate, routing reliability, and energy efficiency.

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HyperLedger Fabric-Based Proactive Defense against Inside Attackers in the WSN With Trust Mechanism

Cited by 7 publications

References 34 publications

A Novel Privacy‐Preserving Mobile‐Coverage Scheme Based on Trustworthiness in HWSNs

A Novel Privacy‐Preserving Mobile‐Coverage Scheme Based on Trustworthiness in HWSNs

Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning

A Hybrid Trust Model against Insider Packet Drop Attacks in Wireless Sensor Networks

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