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

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1442
Author(s):  
Amal Alqahtani ◽  
Heba Kurdi ◽  
Majed Abdulghani
Keyword(s):  
Trust Management ◽  
Peer To Peer ◽  
Management Systems ◽  
Management Approach ◽  
Baseline Scenario ◽  
Trust Value ◽  
P2p Systems ◽  
Management Algorithm ◽  
Trust Management System ◽  
Trust Relationships

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.

scholarly journals Managing Trust and Detecting Malicious Groups in Peer-to-Peer IoT Networks

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4484
Author(s):  
Alanoud Alhussain ◽  
Heba Kurdi ◽  
Lina Altoaimy
Keyword(s):  
Trust Management ◽  
Low Cost ◽  
Specific Model ◽  
Peer To Peer ◽  
Reputation Management ◽  
Management Systems ◽  
Success Rates ◽  
Trust Management System ◽  
Group Members ◽  
Iot Platforms

Peer-to-peer (P2P) networking is becoming prevalent in Internet of Thing (IoT) platforms due to its low-cost low-latency advantages over cloud-based solutions. However, P2P networking suffers from several critical security flaws that expose devices to remote attacks, eavesdropping and credential theft due to malicious peers who actively work to compromise networks. Therefore, trust and reputation management systems are emerging to address this problem. However, most systems struggle to identify new smart models of malicious peers, especially those who cooperate together to harm other peers. This paper proposes an intelligent trust management system, namely, Trutect, to tackle this issue. Trutect exploits the power of neural networks to provide recommendations on the trustworthiness of each peer. The system identifies the specific model of an individual peer, whether good or malicious. The system also detects malicious collectives and their suspicious group members. The experimental results show that compared to rival trust management systems, Trutect raises the success rates of good peers at a significantly lower running time. It is also capable of accurately identifying the peer model.

scholarly journals Robust and Accurate Trust Establishment Scheme for Wireless Sensor Network

2020 ◽  
Vol 12 (6) ◽  
pp. 14-29
Author(s):  
Audrey NANGUE ◽  
◽  
Elie FUTE TAGNE ◽  
Emmanuel TONYE
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Trust Management ◽  
Wireless Sensor ◽  
Management Systems ◽  
Trust Value ◽  
Direct Trust ◽  
Indirect Trust

The success of the mission assigned to a Wireless Sensor Network (WSN) depends heavily on the cooperation between the nodes of this network. Indeed, given the vulnerability of wireless sensor networks to attack, some entities may engage in malicious behavior aimed at undermining the proper functioning of the network. As a result, the selection of reliable nodes for task execution becomes a necessity for the network. To improve the cooperation and security of wireless sensor networks, the use of Trust Management Systems (TMS) is increasingly recommended due to their low resource consumption. The various existing trust management systems differ in their methods of estimating trust value. The existing ones are very rigid and not very accurate. In this paper, we propose a robust and accurate method (RATES) to compute direct and indirect trust between the network nodes. In RATES model, to compute the direct trust, we improve the Bayesian formula by applying the chaining of trust values, a local reward, a local penalty and a flexible global penalty based on the variation of successful interactions, failures and misbehaviors frequency. RATES thus manages to obtain a direct trust value that is accurate and representative of the node behavior in the network. In addition, we introduce the establishment of a simple confidence interval to filter out biased recommendations sent by malicious nodes to disrupt the estimation of a node's indirect trust. Mathematical theoretical analysis and evaluation of the simulation results show the best performance of our approach for detecting on-off attacks, bad-mouthing attacks and persistent attacks compared to the other existing approaches.

Trust Management in Cloud Computing

2019 ◽  
pp. 1686-1711
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

Towards Semantic-Based P2P Reputation Systems

2011 ◽  
pp. 101-119
Author(s):  
Ernesto Damiani ◽  
Marco Viviani
Keyword(s):  
Overlay Networks ◽  
Research Effort ◽  
Peer To Peer ◽  
Reputation Systems ◽  
Shared Resources ◽  
Trust Value ◽  
P2p Systems ◽  
Data Objects ◽  
P2p System ◽  
Simple Features

Peer-to-peer (P2P) systems represent nowadays a large portion of Internet traffic, and are fundamental data sources. In a pure P2P system, since no peer has the power or responsibility to monitor and restrain others behaviours, there is no method to verify the trustworthiness of shared resources, and malicious peers can spread untrustworthy data objects to the system. Furthermore, data descriptions are often simple features directly connected to data or annotations based on heterogeneous schemas, a fact that makes difficult to obtain a single coherent trust value on a resource. This chapter describes techniques where the combination of Semantic Web and peer-to-peer technologies is used for expressing the knowledge shared by peers in a well-defined and formal way. Finally, dealing with Semantic-based P2P networks, the chapter suggests a research effort in this direction, where the association between cluster-based overlay networks and reputation systems based on numerical approaches seems to be promising.

scholarly journals A Review on Various Applications of Reputation Based Trust Management

2021 ◽  
Vol 15 (10) ◽  
pp. 87
Author(s):  
Govindaraj Ramya ◽  
Govindaraj Priya ◽  
Chowdhury Subrata ◽  
Dohyeun Kim ◽  
Duc Tan Tran ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Management System ◽  
Trust Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Peer To Peer ◽  
Cloud Services ◽  
Management Systems ◽  
Significant Challenge ◽  
The Future

<p class="0abstract">The extremely vibrant, scattered, and non–transparent nature of cloud computing formulate trust management a significant challenge. According to scholars the trust and security are the two issues that are in the topmost obstacles for adopting cloud computing. Also, SLA (Service Level Agreement) alone is not necessary to build trust between cloud because of vague and unpredictable clauses. Getting feedback from the consumers is the best way to know the trustworthiness of the cloud services, which will help them improve in the future. Several researchers have stated the necessity of building a robust management system and suggested many ideas to manage trust based on consumers' feedback. This paper has reviewed various reputation-based trust management systems, including trust management in cloud computing, peer-to-peer system, and Adhoc system. </p>

A Conceptual Framework for Adaptive and Configurable Activity-Aware Trust in Collaborative Environments

2010 ◽  
Vol 1 (1) ◽  
pp. 25-44
Author(s):  
Ioanna Dionysiou ◽  
David E. Bakken
Keyword(s):  
Conceptual Framework ◽  
Management System ◽  
Trust Management ◽  
Practical Approach ◽  
Collaborative Environments ◽  
Bottom Up ◽  
Trust Management System ◽  
Trust Relationships ◽  
Proposed Model ◽  
Consistent Manner

Trust is an abstraction of individual beliefs that an entity has for specific situations and interactions and it must evolve in a consistent manner so that it still abstracts the entity’s beliefs accurately. This paper presents and discusses a conceptual trust framework that models an entity’s trust as a relation whose state gets updated as relevant conditions that affect trust change. The proposed model allows entities to reason about the specification and adaptation of trust that is placed in an entity. An intuitive and practical approach is presented to manage end-to-end trust assessment for a particular activity, where multiple trust relationships are examined in a bottom-up evaluation manner to derive the overall trust for the activity. Finally, Hestia, a novel trust management system that conforms to the formal model’s principles, is described.

scholarly journals TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Heba Kurdi ◽  
Bushra Alshayban ◽  
Lina Altoaimy ◽  
Shada Alsalamah
Keyword(s):  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Smart Cities ◽  
Cloud Service ◽  
Trust Model ◽  
Peer To Peer ◽  
Subjective Logic ◽  
Trust Management System ◽  
Effective Manner

Cloud computing plays a major role in smart cities development by facilitating the delivery of various services in an efficient and effective manner. In a Peer-to-Peer (P2P) federated clouds ecosystem, multiple Cloud Service Providers (CSPs) collaborate and share services among them when experiencing a shortage in certain resources. Hence, incoming service requests to this specific resource can be delegated to other members. Nevertheless, the lack of preexisting trust relationship among CSPs in this distributed environment can affect the quality of service (QoS). Therefore, a trust management system is required to assist trustworthy peers in seeking reliable communication partners. We address this challenge by proposing TrustyFeer, a trust management system that allows peers to evaluate the trustworthiness of other peers based on subjective logic opinions, formulated using peers’ reputations and Service Level Agreements (SLAs). To demonstrate the utility of TrustyFeer, we evaluate the performance of our method against two long-standing trust management systems. The simulation results show that TrustyFeer is more robust in decreasing the percentage of services that do not conform to SLAs and increasing the success rate of exchanged services by good CSPs conforming to SLAs. This should provide a trustworthy federated clouds ecosystem for a better, more sustainable future.

scholarly journals A Framework for Concrete Reputation-Systems

2005 ◽  
Vol 12 (23) ◽  
Author(s):  
Karl Krukow ◽  
Mogens Nielsen ◽  
Vladimiro Sassone
Keyword(s):  
Decision Making ◽  
Trust Management ◽  
Reputation Systems ◽  
Management Systems ◽  
Mathematical Framework ◽  
The Past ◽  
Trust Management System ◽  
Naturally Occurring ◽  
Basic Language ◽  
Security Guarantees

In a reputation-based trust-management system, agents maintain information about the past behaviour of other agents. This information is used to guide future trust-based decisions about interaction. However, while trust management is a component in security decision-making, few existing reputation-based trust-management systems aim to provide any formal security-guarantees. We provide a mathematical framework for a class of simple reputation-based systems. In these systems, decisions about interaction are taken based on policies that are exact requirements on agents' past histories. We present a basic declarative language, based on pure-past linear temporal logic, intended for writing simple policies. While the basic language is reasonably expressive, we extend it to encompass more practical policies, including several known from the literature. A naturally occurring problem becomes how to efficiently re-evaluate a policy when new behavioural information is available. Efficient algorithms for the basic language are presented and analyzed, and we outline algorithms for the extended languages as well.

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