AuthenticPeer++: A Trust Management System for P2P Networks

Alkharji, Sarah; Kurdi, Heba; Altamimi, Rasha; Aloboud, Ebtesam

doi:10.1109/ems.2017.41

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…The algorithm depends on the concept of weighted averaging and scaling of local trust, which is then used to calculate the global trust. AuthenticPeer++ [25] is a hybrid technique that combines peer-based and file-based reputation system approaches. To reduce the impact of collective malicious peers, AuthenticPeer++ utilizes the global trust value of a peer to weigh its opinion.…”

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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“…If the number of transactions is lower than a certain threshold, the EigenTrust algorithm [6] is used; otherwise, the file-based algorithm [25] is used. AuthenticPeer++ [27] enhances the performance of AuthenticPeer by using the peer's global trust value to weigh the opinion on the shared files.…”

Section: Literature Reviewmentioning

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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“…Reputation-based approaches aggregate feedback from other peers in order to build trust among peers. A large number of contributions have adopted this approach, for instance [6,9,[15][16][17][18][19][20][21][22][23][24]. They mainly differ in how trust is computed for a peer and the degree of accuracy and complexity involved [25].…”

Section: Literature Reviewmentioning

confidence: 99%

An Adjusted Free-Market-Inspired Approach to Mitigate Free-Riding Behavior in Peer-to-Peer Fog Computing

et al. 2020

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Peer-to-peer (P2P) architecture is increasingly gaining attention as a potential solution for the scalability problem facing the Internet of Things (IoT). It can be adopted for the fog computing layer to sustain the massive flow of data from constrained IoT nodes to the cloud. The success of a P2P-based system is entirely dependent on the continuity of resource sharing among individual nodes. Free riding is a severe problem that contradicts this main principle of P2P systems. It is understood that peers tend to consume resources from other peers without offering any in return. This free riding behavior can decrease system scalability and content availability, resulting in a decline in performance. Significant efforts have been made to hinder this behavior and to encourage cooperation amongst peers. To this end, we propose AFMIA, an Adjusted Free-Market-Inspired Approach that considers resources as goods that have dynamic prices based on the amount of supply and demand. Peers have wealth that can be increased by providing resources and spent by consuming them. The experimental results indicate that the proposed algorithm can successfully improve fairness without compromising on success rates.

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AuthenticPeer++: A Trust Management System for P2P Networks

Cited by 5 publications

References 17 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

An Adjusted Free-Market-Inspired Approach to Mitigate Free-Riding Behavior in Peer-to-Peer Fog Computing

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