Reputation Management Techniques in DHT-Based Peer-to-Peer Networks

Fedotova, Natalya; Bertucci, M.; Veltri, Luca

doi:10.1109/iciw.2007.53

Cited by 12 publications

(1 citation statement)

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“…In order to solve these problems, some models based on social relations have emerged [18][19][20]. The guidance graph model proposed by Danezis et al uses social networks to propose correctness standards for secure routing [21] and gives preliminary suggestions on concrete implementation. Yu et al successively proposed the SybilGuard [22] and SybilLimit [23] systems, which make use of the feature of fast mixing of social networks, to help, as the mixing is in the distributed network, with arbitrary benign nodes communicating with another honest node with high probability.…”

Section: Related Workmentioning

confidence: 99%

A collaborative service resource evaluation model based on trust network

Jun

Liu

et al. 2021

J Wireless Com Network

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In the era of the 5G network, network traffic grows rapidly. Edge computing will face the challenges of high bandwidth, low latency, high reliability and other requirements of 5G network services. Due to the limited resources of node communication, computing and storage, under the sudden, intensive and high-traffic task request, edge computing will suffer from network jitter, excessive delay, access congestion, service failure and low distribution efficiency. In order to ensure network service quality and improve service efficiency, it is necessary to construct an effective collaborative service mechanism, motivate nodes to participate in cooperation, integrate network service resources and self-adapt to manage collaborative services. Therefore, establishing an effective node and service evaluation system to identify reliable resources and nodes is an effective way to improve the overall availability and reliable services of edge computing network. In this paper, we summarize and analyze the key technologies of the current collaborative service organization incentive and trust mechanism. This paper presents an attack-resistant node and service evaluation system based on a trust network. The system includes a voting collection mechanism, a trustable node selection mechanism, a questioning response mechanism and a punishment mechanism. The experiments prove that the system has a strong ability to resist attacks and is superior to the existing reputation evaluation model in terms of its performance. It can effectively improve the collaborative efficiency of edge computing and guarantee the quality of network service.

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