A Survey of Trust and Reputation Management Systems in Wireless Communications

Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Niyato, Dusit

doi:10.1109/jproc.2010.2059690

Cited by 252 publications

(147 citation statements)

References 29 publications

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“…Firdous et al [9] and Han et al [11] have studied that the status and trust have originated from society which studies the pattern of human behaviour. Zaobin et al [12] have explained the relationship among various entities of social network in trust management system.…”

Section: Trust and Trust Managementmentioning

confidence: 99%

Trust Models in Cloud Computing: A Review

Ritu¹,

Randhawa²,

Jain³

2017

IJWMT

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It is common to hear that big or small organizations are moving to cloud computing for its scalability and cost savings. But, how do you decide which cloud provider to trust? Trust is a vital factor, especially for service oriented systems in the area of Information Technology and Security. Several issues have been raised by enterprises and individuals concerning the reliability of the cloud resources. In cloud computing, trust helps the consumer to choose the service of a cloud service provider for storing and processing their sensitive information. In this paper, a methodical literature analysis of trust management and existing trust models is presented to evaluate trust based on various QoS parameters. Key research issues and future research directions in existing literature are also suggested.

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Section: Trust and Trust Managementmentioning

confidence: 99%

Trust Models in Cloud Computing: A Review

Ritu¹,

Randhawa²,

Jain³

2017

IJWMT

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“…Owing to the openness of the wireless network and uncontrollability of the nodes without a Central Authority (CA), the availability of compromising nodes and unauthorized access becomes inevitable in the network. Many researchers have worked on this issue and proposed various schemes that can be broadly classified as hard and soft security schemes [29,30]. In the hard security scheme, cryptographic algorithms are implemented to ensure confidentiality on information exchange and authentication of participation nodes.…”

Section: Benchmarking Of Recommendation Trust Computation For Trust/tmentioning

confidence: 99%

Benchmarking of Recommendation Trust Computation for Trust/Trustworthiness Estimation in HDNs

El-Sayed¹,

Sankar²,

Yu³

et al. 2017

INT J COMPUT COMMUN

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In the recent years, Heterogeneous Distributed Networks (HDNs) is a predominant technology implemented to enable various application in different fields like transportation, medicine, war zone, etc. Due to its arbitrary self-organizing nature and temporary topologies in the spatial-temporal region, distributed systems are vulnerable with a few security issues and demands high security countermeasures. Unlike other static networks, the unique characteristics of HDNs demands cutting edge security policies. Numerous cryptographic techniques have been proposed by different researchers to address the security issues in HDNs. These techniques utilize too many resources, resulting in higher network overheads. This being classified under light weight security scheme, the Trust Management System (TMS) tends to be one of the most promising technology, featured with more efficiency in terms of availability, scalability and simplicity. It advocates both the node level validation and data level verification enhancing trust between the attributes. Further, it thwarts a wide range of security attacks by incorporating various statistical techniques and integrated security services. In this paper, we present a literature survey on different TMS that highlights reliable techniques adapted across the entire HDNs. We then comprehensively study the existing distributed trust computations and benchmark them in accordance to their effectiveness. Further, performance analysis is applied on the existing computation techniques and the benchmarked outcome delivered by Recommendation Trust Computations (RTC) is discussed. A Receiver Operating Characteristics (ROC) curve illustrates better accuracy for Recommendation Trust Computations (RTC), in comparison with Direct Trust Computations (DTC) and Hybrid Trust Computations (HTC). Finally, we propose the future directions for research and highlight reliable techniques to build an efficient TMS in HDNs.

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“…Basically, reputation is public knowledge and represents the collective International Journal of Distributed Sensor Networks 5 opinion of a node in a network. In this paper, we adopt the following definition [27].…”

Section: Service Reputation and Feedbackmentioning

confidence: 99%

RPRep: A Robust and Privacy-Preserving Reputation Management Scheme for Pseudonym-Enabled VANETs

Wang

Zhang

Wang

et al. 2016

International Journal of Distributed Sensor Networks

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Establishing trust and reputation for evaluation of message reliability is key to the vehicular ad hoc networks (VANETs). Most of the previous reputation management systems focus on the effectiveness of the reputation management system in handling the liars who send false service messages. However, these reputation management systems have two drawbacks. One is that they are vulnerable to tactical attacks such as self-promoting attacks and bad-mouthing attacks. The other is that they may violate location privacy because they assume every vehicle communicates with a unique ID. Our research particularly investigates the robustness against these tactical attacks, as well as the preservation of privacy by integrating trust management with the pseudonym technique. To resist the tactical attacks in VANETs, we present a reputation model which builds both service reputation and feedback reputation. Moreover, we apply the information entropy and the majority rule to the reputation accumulation algorithms to counter false feedback. To defend the reputation link attack during pseudonym changes, we propose hidden-zone strategy and -anonymity strategy. The simulation results show that our scheme is robust to these tactical attacks and preserves privacy against the reputation link attack during the pseudonym changes.

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A Survey of Trust and Reputation Management Systems in Wireless Communications

Cited by 252 publications

References 29 publications

Trust Models in Cloud Computing: A Review

Trust Models in Cloud Computing: A Review

Benchmarking of Recommendation Trust Computation for Trust/Trustworthiness Estimation in HDNs

RPRep: A Robust and Privacy-Preserving Reputation Management Scheme for Pseudonym-Enabled VANETs

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