Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks

She, Weilong; Liu, Qi; Zhao, Tian; Chen, Jian-Sen; Wang, Bo; Liu, Wei

doi:10.1109/access.2019.2902811

Cited by 151 publications

(76 citation statements)

References 30 publications

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“…This model used blockchain smart contracts to detect malicious nodes in 3D space. The experimental results show that this model can effectively detect malicious nodes in wireless sensor networks and ensure traceability in the detection process [48]. Yonggui mentioned that the "incompleteness" and "asymmetry" of supply chain operation efficiency in big production enterprises is caused by the failure to achieve shared information, which is likely to cause fraud problems among business entities.…”

Section: Related Workmentioning

confidence: 98%

Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

Lee

Yang

Wei³

et al. 2021

Applied Sciences

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The risk of supply chain disruption is usually related to daily disturbances in supply chain operations (e.g., demand fluctuations) and some emergency risks, such as earthquakes and epidemic outbreaks. During a crisis, companies need agility to quickly find new suppliers and open auxiliary sales channels to meet customer needs and remain competitive. However, identifying “event” is one of the most difficult challenges of current decision support systems. If the system encounters an emergency, it is usually unable to promptly notify users of the warning to avoid risks. A sensible solution is to incorporate the real-time event-monitoring system into SCM (i.e., supply chain management) in order to share emergency information in the early stage for preemptive management in the supply chain. On the other hand, in order to process confidential supply chain data with other members, the SCM infrastructure requires secure data sharing. The blockchain-based SCM system can improve the transparency of traceability to ensure that the supply chain system provides high-quality products and protects data privacy and security. The view is taken; therefore, in this work, we combined a method of real-time event detection using collected Twitter data and blockchain technology for event monitoring to improve the visibility of the supply chain system and take preemptive measures for risk avoidance. The experiments show some interesting results and potentials for future work in the field of the agile supply chain.

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Section: Related Workmentioning

confidence: 98%

Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

Lee

Yang

Wei³

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…e literature [110] proposed a blockchain trust model (BTM) for malicious node detection in wireless sensor networks, which used blockchain smart contracts and WSN quadrilateral measurement and positioning methods to achieve malicious node detection in the 3D space, with good traceability. Based on a consensus mechanism blockchain, Spathoulas et al [111] used lightweight agents installed at multiple IoT locations to collaboratively detect DDoS attacks carried out by a botnet of IoT devices.…”

Section: Distributed Approachmentioning

confidence: 99%

Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation

Xing

Hui

Zhao

et al. 2021

Mathematical Problems in Engineering

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With the continuous evolution of the Internet, as well as the development of the Internet of Things, smart terminals, cloud platforms, and social platforms, botnets showing the characteristics of platform diversification, communication concealment, and control intelligence. This survey analyzes and compares the most important efforts in the botnet detection area in recent years. It studies the mechanism characteristics of botnet architecture, life cycle, and command and control channel and provides a classification of botnet detection techniques. It focuses on the application of advanced technologies such as deep learning, complex network, swarm intelligence, moving target defense (MTD), and software-defined network (SDN) for botnet detection. From the four dimensions of service, intelligence, collaboration, and assistant, a common bot detection evaluation system (CBDES) is proposed, which defines a new global capability measurement standard. Combing with expert scores and objective weights, this survey proposes quantitative evaluation and gives a visual representation for typical detection methods. Finally, the challenges and future trends in the field of botnet detection are summarized.

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“…3) Beyond that, many studies focus on trust differently. [13] proposed a trust model framework based on the blockchain, [14] proposed an information theory framework based on entropy weight and probability, both of which are used for malicious node detection. [15] studied the information model of security situation based on XML, divides network security level into different grades and chooses the support vector regression machine to predict the network security situation and determine the parameter values.…”

Section: Related Work a Trust Evaluationmentioning

confidence: 99%

On Credibility-Based Service Function Chain Deployment

Fan

Cui

et al. 2021

IEEE Open J. Comput. Soc.

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With the advancements of Software Defined Networking and Network Function Virtualization technologies, users can access the software-based service function chain (SFC), which is composed of multiple sequential virtual network function (VNF) nodes. Although SFC is more flexible and adaptive in terms of design and deployment, the security risks should not be underestimated. At present, there is a lack of security or risk assessment for SFC, and SFC deployments rarely take their security into account. However, vulnerabilities and risks can cause VNF node failure during operation, which can lead to issues such as disruptions in SFC service and user data leakage. This paper proposes the concept of SFC credibility, which quantifies the authenticity, availability, and reliability of the VNF nodes from both time and space dimensions. Then, a hierarchical credibility evaluation model is built such that VNF nodes can be selected for the user based on their trustworthiness. A credibility-based deployment strategy is further designed for SFC and the corresponding VNF forwarding graph. Furthermore, a comparative study with three existing deployment strategies has shown the advantages of the proposed method. The extensive experimental results demonstrate the improved trust degree and the acceptance rate of SFC with a limited budget.

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Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks

Cited by 151 publications

References 30 publications

Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation

On Credibility-Based Service Function Chain Deployment

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