A Blockchain-Based Secure Key Management Scheme With Trustworthiness in DWSNs

Tian, Youliang; Wang, Zuan; Xiong, Jinbo; Ma, Jianfeng

doi:10.1109/tii.2020.2965975

Cited by 111 publications

(74 citation statements)

References 28 publications

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“…They proposed blockchainbased key management which has less dependency on the base station. This method provides trustworthiness, security, and reliability [98].…”

Section: Security Solutionsmentioning

confidence: 99%

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Gautam

Kumar

2021

SN Appl. Sci.

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Wireless sensor networks (WSN) are the new speed-accelerating technologies worldwide and are used continuously in a range of critical applications. Any damage or compromise to data security could have physical and direct effects on network efficiency and safety. One of the active areas of research is key management, authentication, and trust management in wireless sensor networks (WSN). Since researchers have provided many protection schemes, it is difficult to select which key management or trust management schemes in a specific WSN application suit best. We did a detailed survey in our paper on how the properties of various trust management, authentication, and key management schemes can be used for specific applications. Based on this review, we present the methodologies, advantages, and limitations of the previously proposed key management, authentication, and trust management scheme in WSN. The goal of this thorough analysis is to compare and find the correct security solution that successfully meets the requirements of the application. Moreover, the strength, weaknesses, and open problems are added that can extend more frontiers to get the best security solutions in the future.s

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“…They proposed blockchainbased key management which has less dependency on the base station. This method provides trustworthiness, security, and reliability [98].…”

Section: Security Solutionsmentioning

confidence: 99%

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Gautam

Kumar

2021

SN Appl. Sci.

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“…• Case (13). If the attacker takes action P, the state S A inn transmits to itself with probability τ α (1 − ) i and the rewards is • Case (14). If the attacker takes action P, the state S A inn transmits to S H with probability β and the rewards is 0.…”

Section: Suppose the Current State Is S Omentioning

confidence: 99%

“…These attacks, on the other hand, produce a powerful blast wave to the security of blockchain systems. 14,10,15,16 In 2014, about 300 BTC is sabotaged in the Eligius pool due to BWH attacks. In June 2016, 60 million dollars are stolen in the notorious DAO event.…”

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confidence: 99%

Optimal mixed block withholding attacks based on reinforcement learning

et al. 2020

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The vulnerabilities in cryptographic currencies facilitate the adversarial attacks. Therefore, the attackers have incentives to increase their rewards by strategic behaviors. Block withholding attacks (BWH) are such behaviors that attackers withhold blocks in the target pools to subvert the blockchain ecosystem. Furthermore, BWH attacks may dwarf the countermeasures by combining with selfish mining attacks or other strategic behaviors, for example, fork after withholding (FAW) attacks and power adaptive withholding (PAW) attacks. That is, the attackers may be intelligent enough such that they can dynamically gear their behaviors to optimal attacking strategies. In this paper, we propose mixed-BWH attacks with respect to intelligent attackers, who leverage reinforcement learning to pin down optimal strategic behaviors to maximize their rewards. More specifically, the intelligent attackers strategically toggle among BWH, FAW, and PAW attacks. Their main target is to fine-tune the optimal behaviors, which incur maximal rewards. The attackers pinpoint the optimal attacking actions with reinforcement learning, which is formalized into a Markov decision process. The simulation results show that the rewards of the mixed strategy are

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“…H-sensors nodes form a consensus network and act as heads for node clusters that will include L-sensors nodes. An example of such a solution was presented by Tian et al in [ 23 ].…”

Section: Related Workmentioning

confidence: 99%

Cryptographic Keys Generating and Renewing System for IoT Network Nodes—A Concept

Furtak

2020

Sensors

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Designers and users of the Internet of Things (IoT) are devoting more and more attention to the issues of security and privacy as well as the integration of data coming from various areas. A critical element of cooperation is building mutual trust and secure data exchange. Because IoT devices usually have small memory resources, limited computing power, and limited energy resources, it is often impossible to effectively use a well-known solution based on the Certification Authority. This article describes the concept of the system for a cryptographic Key Generating and Renewing system (KGR). The concept of the solution is based on the use of the hardware Trusted Platform Module (TPM) v2.0 to support the procedures of creating trust structures, generating keys, protecting stored data, and securing data exchange between system nodes. The main tasks of the system are the secure distribution of a new symmetric key and renewal of an expired key for data exchange parties. The KGR system is especially designed for clusters of the IoT nodes but can also be used by other systems. A service based on the Message Queuing Telemetry Transport (MQTT) protocol will be used to exchange data between nodes of the KGR system.

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A Blockchain-Based Secure Key Management Scheme With Trustworthiness in DWSNs

Cited by 111 publications

References 28 publications

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Optimal mixed block withholding attacks based on reinforcement learning

Cryptographic Keys Generating and Renewing System for IoT Network Nodes—A Concept

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