TCR: a trustworthy and churn-resilient academic distribution and retrieval system in P2P networks

Chuang, Yung Ting; Li, Feng Wei

doi:10.1007/s11227-020-03146-9

Cited by 6 publications

(2 citation statements)

References 76 publications

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“…The opinion is a relationship between two peers and consists of four components: belief, disbelief, uncertainty, and base rate. TCR [20] classifies nodes with similar research topics into local subnetworks. The trust score calculation considers different weights: the node's weight according to its contribution score, the node's weight according to its cooperation times, and the weight of the distance of the research field between two nodes.…”

Section: Related Workmentioning

confidence: 99%

AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks

Al-Otaiby

Alhindi

Kurdi

2022

Sensors

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In P2P networks, self-organizing anonymous peers share different resources without a central entity controlling their interactions. Peers can join and leave the network at any time, which opens the door to malicious attacks that can damage the network. Therefore, trust management systems that can ensure trustworthy interactions between peers are gaining prominence. This paper proposes AntTrust, a trust management system inspired by the ant colony. Unlike other ant-inspired algorithms, which usually adopt a problem-independent approach, AntTrust follows a problem-dependent (problem-specific) heuristic to find a trustworthy peer in a reasonable time. It locates a trustworthy file provider based on four consecutive trust factors: current trust, recommendation, feedback, and collective trust. Three rival trust management paradigms, namely, EigenTrust, Trust Network Analysis with Subjective Logic (TNA-SL), and Trust Ant Colony System (TACS), were tested to benchmark the performance of AntTrust. The experimental results demonstrate that AntTrust is capable of providing a higher and more stable success rate at a low running time regardless of the percentage of malicious peers in the network.

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Section: Related Workmentioning

confidence: 99%

AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks

Al-Otaiby

Alhindi

Kurdi

2022

Sensors

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“…This results in a lack of trust between peers, which causes peers to refrain from sharing their resources and, in extreme cases, exit the network, resulting in the entire system's failure. Therefore, it is essential for a P2P system to employ a trust management system to ensure trustworthy file sharing between peers [9,10].…”

Section: Introductionmentioning

confidence: 99%

HadithTrust: Trust Management Approach Inspired by Hadith Science for Peer-to-Peer Platforms

2021

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Peer-to-peer (P2P) platforms are gaining increasing popularity due to their scalability, robustness and self-organization. In P2P systems, peers interact directly with each other to share resources or exchange services without a central authority to manage the interaction. However, these features expose P2P platforms to malicious attacks that reduce the level of trust between peers and in extreme situations, may cause the entire system to shut down. Therefore, it is essential to employ a trust management system that establishes trust relationships among peers. Current P2P trust management systems use binary categorization to classify peers as trustworthy or not trustworthy. However, in the real world, trustworthiness is a vague concept; peers have different levels of trustworthiness that affect their overall trust value. Therefore, in this paper, we developed a novel trust management algorithm for P2P platforms based on Hadith science where Hadiths are systematically classified into multiple levels of trustworthiness, based on the quality of narrator and content. To benchmark our proposed system, HadithTrust, we used two state-of-art trust management systems, EigenTrust and InterTrust, with no-trust algorithm as a baseline scenario. Various experimental results demonstrated the superiority of HadithTrust considering eight performance measures.

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Security of lightweight mutual authentication protocols

Kapoor

Piramuthu

2020

J Supercomput

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TCR: a trustworthy and churn-resilient academic distribution and retrieval system in P2P networks

Cited by 6 publications

References 76 publications

AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks

AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks

HadithTrust: Trust Management Approach Inspired by Hadith Science for Peer-to-Peer Platforms

Security of lightweight mutual authentication protocols

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