An Overview of Sybil Attack Detection Mechanisms in VFC

Yang, Haonan; Zhong, Yongchao; Yang, Bo; Yang, Yiyu; Xu, Zifeng; Wang, Longjuan; Zhang, Yuqing

doi:10.1109/dsn-w54100.2022.00028

Cited by 7 publications

(3 citation statements)

References 31 publications

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“…This can result in stopping all communications with the node from which the attack comes, as far as the network is concerned it is the attacker. An example of an attack is a Sybil attack [14]. It is an attack on a computer network service by creating many pseudonymous identities using a single node within a peer-to-peer network.…”

Section: B Security Modulementioning

confidence: 99%

Holochain-Based Secure and Energy Efficient IoT Network

Kple,

Deepak,

Rimal

2024

2024 International Wireless Communications and Mobile Computing (IWCMC)

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The security and performance of a microservice based IoT platform rank among the top significant factors impacting the IoT clients within the network. It is also the case that the energy consumption of such a network has become a critical topic and is greatly under scrutiny. Therefore, it is necessary to design the network to protect against cyberattacks and keep energy consumption at the lowest possible level while maintaining higher system performance. A new Holochain architecture for IoT security is proposed in this paper. A Blockchain network memory usage and energy consumption for IoT data transmission are compared side by side with a Holochain-based IoT-microservice platform. The obtained results demonstrate that the proposed Holochain framework achieves lower energy consumption, higher performance and better scalability than the Blockchain network.

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Section: B Security Modulementioning

confidence: 99%

Holochain-Based Secure and Energy Efficient IoT Network

Kple,

Deepak,

Rimal

2024

2024 International Wireless Communications and Mobile Computing (IWCMC)

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“…In recent years, with the continuous development and application of blockchain technology, more and more researchers have begun to improve the PBFT algorithm and apply it to blockchain consensus. Inspired by the Proof of Stake (PoS) algorithm, Buchman [25] and others added empty blocks and lock mechanisms to simplify the PBFT consensus process, and assigned different weights to each vote to deal with Sybil attacks [26]. In order to improve the scalability of the PBFT consensus algorithm under the premise of ensuring security, Micali et al [27] proposed an efficient algorithm, using the encrypted lottery mechanism to elect verifiers and leaders, and then adopting the BA* protocol to reach new blocks the consensus is generated in rounds.…”

Section: Blockchain-based Trust Managementmentioning

confidence: 99%

An Efficient and Reliable Blockchain-based Trust Management Model for Electricity Trading Terminal

Liu¹,

Li²,

Zhou³

et al. 2023

Journal of Computers

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<p>A safe and reliable terminal environment is crucial to ensure the security of the electricity trading system. The existing terminal security system based on identity authentication and access control has internal threats that are difficult to solve. For example, multiple internal malicious nodes cause broadcast message tampering attacks and malicious packet loss, resulting in message dissemination failure. Existing blockchain-based trust management systems are good for addressing insider threats, but suffer from low efficiency. In order to solve the internal threat problem of the electric electricity trading system, from the perspective of trust evaluation and trust management of the terminal environment, an efficient and reliable blockchain-based electric trading terminal (ERBTM) trust management model is proposed. First of all, we collect a variety of trust factors to evaluate the credibility of the terminal, which solves the problem of accuracy in the process of trust assessment; secondly, we improve the speed of storing trust values on the chain and ensure the robustness of the system by improving the consensus algorithm; Finally, we designed the structure of the block that stores the trust value to ensure that the trust value is not tampered with. The experimental results show that, compared with similar methods, the ERBTM model can effectively deal with the endogenous security threats of terminals in the electricity trading environment, and has significant advantages in terms of efficiency and reliability. </p> <p> </p>

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“…Notably, malicious vehicles are the source of Sybil attacks. Yang et al organized Sybil attacks regarding the traceability of malicious vehicles [22], pointing out that existing schemes have apparent drawbacks for the traceability of malicious vehicles. This allows malicious vehicles to continue to exist in the vehicular network and continue Sybil attacks.…”

Section: Introductionmentioning

confidence: 99%

Sybil Attacks Detection and Traceability Mechanism Based on Beacon Packets in Connected Automobile Vehicles

Zhu,

Zeng,

Weng

et al. 2024

Sensors

Self Cite

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Connected Automobile Vehicles (CAVs) enable cooperative driving and traffic management by sharing traffic information between them and other vehicles and infrastructures. However, malicious vehicles create Sybil vehicles by forging multiple identities and sharing false location information with CAVs, misleading their decisions and behaviors. The existing work on defending against Sybil attacks has almost exclusively focused on detecting Sybil vehicles, ignoring the traceability of malicious vehicles. As a result, they cannot fundamentally alleviate Sybil attacks. In this work, we focus on tracking the attack source of malicious vehicles by using a novel detection mechanism that relies on vehicle broadcast beacon packets. Firstly, the roadside units (RSUs) randomly instruct vehicles to perform customized key broadcasting and listening within communication range. This allows the vehicle to prove its physical presence by broadcasting. Then, RSU analyzes the beacon packets listened to by the vehicle and constructs a neighbor graph between the vehicles based on the customized particular fields in the beacon packets. Finally, the vehicle’s credibility is determined by calculating the edge success probability of vehicles in the neighbor graph, ultimately achieving the detection of Sybil vehicles and tracing malicious vehicles. The experimental results demonstrate that our scheme achieves the real-time detection and tracking of Sybil vehicles, with precision and recall rates of 98.53% and 95.93%, respectively, solving the challenge of existing detection schemes failing to combat Sybil attacks from the root.

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An Overview of Sybil Attack Detection Mechanisms in VFC

Cited by 7 publications

References 31 publications

Holochain-Based Secure and Energy Efficient IoT Network

Holochain-Based Secure and Energy Efficient IoT Network

An Efficient and Reliable Blockchain-based Trust Management Model for Electricity Trading Terminal

Sybil Attacks Detection and Traceability Mechanism Based on Beacon Packets in Connected Automobile Vehicles

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