Abstract
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.
Highlights
Peer-to-peer (P2P) platforms have gained immense popularity due to their success in many large-scale distributed applications, such as file sharing networks [1], social networks [2], and content delivery systems [3]
HadithTrust maintains a higher percentage of authentic downloads than EigenTrust and InterTrust when the percentage of malicious feedback peers is less than 75%
One of the main drawbacks of existing trust management systems is the binary classification for files as either authentic or inauthentic, which does not reflect real-world files and affects overall trust evaluations within systems
Summary
Peer-to-peer (P2P) platforms have gained immense popularity due to their success in many large-scale distributed applications, such as file sharing networks [1], social networks [2], and content delivery systems [3]. P2P systems are vulnerable to many types of security threats and malicious attacks, such as buggy or inauthentic files 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. This paper proposes a new trust management algorithm, HadithTrust, inspired by the Hadith classification science, which follows a systematic approach to classify Hadiths (files) and narrators (peers) in gradual quality levels. It assigns a specific trust level for a certain Hadith (file) based on the provider peer’s (narrator) honesty and Matn (file content) authenticity.
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