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Keywords = EigenTrust

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16 pages, 2397 KB  
Article
Trust-Enabled Framework for Smart Classroom Ransomware Detection: Advancing Educational Cybersecurity Through Crowdsourcing
by Qatrunnada Ismail, Shatha Almutairi and Heba Kurdi
Information 2025, 16(4), 312; https://doi.org/10.3390/info16040312 - 14 Apr 2025
Cited by 3 | Viewed by 1160
Abstract
The proliferation of e-learning has exposed smart classroom devices and online learning platforms to ransomware attacks, threatening the integrity of educational processes. This study introduced a novel trust-based crowdsourcing framework to mitigate such attacks in smart classrooms. We evaluated our framework using two [...] Read more.
The proliferation of e-learning has exposed smart classroom devices and online learning platforms to ransomware attacks, threatening the integrity of educational processes. This study introduced a novel trust-based crowdsourcing framework to mitigate such attacks in smart classrooms. We evaluated our framework using two trust management algorithms, EigenTrust and Trust Network Analysis with Subjective Logic (TNaSL), comparing them against a baseline scenario without trust management. Experimental results, based on success rate, accuracy, precision, and recall metrics, demonstrated the significant enhancement of security in crowdsourcing processes. Both implementations exhibited resilience against increasing proportions of malicious nodes. This study contributes to cybersecurity in smart educational settings by demonstrating the efficacy of trust-based crowdsourcing in ransomware detection. Our framework paves the way for more secure digital learning spaces, addressing the cybersecurity challenges in IoT-enabled educational environments. Full article
(This article belongs to the Special Issue The Convergence of Artificial Intelligence and Internet of Things Security: Shaping the Future of Secure Connected Systems)
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17 pages, 1032 KB  
Article
Secure PBFT Consensus-Based Lightweight Blockchain for Healthcare Application
by Pawan Hegde and Praveen Kumar Reddy Maddikunta
Appl. Sci. 2023, 13(6), 3757; https://doi.org/10.3390/app13063757 - 15 Mar 2023
Cited by 38 | Viewed by 6037
Abstract
Recent advancement in IoT technology has boosted the healthcare domain with enormous usage of IoT devices to provide elevated services to patients with chronic disorders on a real-time basis by the incorporation of IoT sensors on patients’ bodies. However, providing services ensuring security [...] Read more.
Recent advancement in IoT technology has boosted the healthcare domain with enormous usage of IoT devices to provide elevated services to patients with chronic disorders on a real-time basis by the incorporation of IoT sensors on patients’ bodies. However, providing services ensuring security and maintaining the privacy of patients is a challenging task. Blockchain technology promises security in a distributed environment but popular consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS) require huge computational resources and energy by making the IoT environment inefficient. This paper introduces a secure Practical Byzantine Fault Tolerance (PBFT) consensus-based lightweight blockchain algorithm for healthcare applications. To strengthen the PBFT consensus, highly trusted nodes were allowed to participate in the consensus algorithm using the Eigen Trust model and Verifiable Random Function (VRF) to select a random primary node from a group of trusted consensus nodes. The proposed algorithm is tested in a simulated environment and evaluated against the traditional PBFT consensus algorithm considering throughput, latency, and fault tolerance. Full article
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15 pages, 928 KB  
Article
AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks
by Nehal Al-Otaiby, Afnan Alhindi and Heba Kurdi
Sensors 2022, 22(2), 533; https://doi.org/10.3390/s22020533 - 11 Jan 2022
Cited by 11 | Viewed by 3498
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Topic Wireless Sensor Networks)
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22 pages, 9253 KB  
Article
HadithTrust: Trust Management Approach Inspired by Hadith Science for Peer-to-Peer Platforms
by Amal Alqahtani, Heba Kurdi and Majed Abdulghani
Electronics 2021, 10(12), 1442; https://doi.org/10.3390/electronics10121442 - 16 Jun 2021
Cited by 6 | Viewed by 3948
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Security and Trust in Next Generation Cyber-Physical Systems)
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17 pages, 4185 KB  
Article
WhatsTrust: A Trust Management System for WhatsApp
by Fatimah Almuzaini, Sarah Alromaih, Alhanoof Althnian and Heba Kurdi
Electronics 2020, 9(12), 2190; https://doi.org/10.3390/electronics9122190 - 18 Dec 2020
Cited by 3 | Viewed by 3863
Abstract
Online communication platforms face security and privacy challenges, especially in broad ecosystems, such as online social networks, where users are unfamiliar with each other. Consequently, employing trust management systems is crucial to ensuring the trustworthiness of participants, and thus, the content they share [...] Read more.
Online communication platforms face security and privacy challenges, especially in broad ecosystems, such as online social networks, where users are unfamiliar with each other. Consequently, employing trust management systems is crucial to ensuring the trustworthiness of participants, and thus, the content they share in the network. WhatsApp is one of the most popular message-based online social networks with over one billion users worldwide. Therefore, it is considered an attractive platform for cybercriminals who spread malware to gain unauthorized access to users’ accounts to steal their data or corrupt the system. None of the few trust management systems proposed in the online social network literature have considered WhatsApp as a use case. To this end, this paper introduces WhatsTrust, a trust management system for WhatsApp that evaluates the trustworthiness of users. A trust value accompanies each message to help the receiver make an informed decision regarding how to deal with the message. WhatsTrust is extensively evaluated through a strictly controlled empirical evaluation framework with two well-established trust management systems, namely EigenTrust and trust network analysis with subjective logic (TNA-SL) algorithms, as benchmarks. The experimental results demonstrate WhatsTrust’s dominance with respect to the success rate and execution time. Full article
(This article belongs to the Section Computer Science & Engineering)
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