Trust and reputation models comparison

Mármol, Félix Gómez; Pérez, Gregorio Martínez

doi:10.1108/10662241111123739

Cited by 28 publications

(8 citation statements)

References 21 publications

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“…Moreover, trust always involves accepting a certain level of risk and becoming vulnerable to a trusted party [25]. This acceptance of risk is based on the expectation that the trusted party will perform actions that are important or beneficial to the vulnerable one [8,26]. Therefore, trust is a relative term based on actions between the parties involved [14], and it emerges if all the risks in a system are understood by all the players.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Effects of RFID in Retailing on Customer Trust

Yeh¹

2013

JSSM

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Radio frequency identification (RFID) has become an increasingly widespread technology. However, there has been limited research on it with regard to customer-related issues. This paper proposes a theoretical model to investigate customer perceptions of privacy risk and trust for the retail stores with all RFID tagged items. The results suggest that customers with high sensitivity to privacy risk have a lower degree of trust in RFID applications. However, benefits to customers are incentives for retailers to both mitigate customer worries about their privacy being invaded and increase their trust in retailers. One way to do this is by implementing strong data security systems. This research thus presents a set of guidelines to help retailers successfully apply this technology in their stores.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Effects of RFID in Retailing on Customer Trust

Yeh¹

2013

JSSM

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“…Even network simulators specifically designed to test trust and reputation approaches have been developed , allowing this way a comprehensive analysis and comparison amongst different proposals .…”

Section: Introductionmentioning

confidence: 99%

Reputation‐based Web service orchestration in cloud computing: A survey

Mármol¹,

Kuhnen²

2013

Concurrency and Computation

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Cloud computing is no longer the future but the present. Every day, more and more companies and service providers transfer their businesses and operations to the cloud, benefiting from its multiple advantages. Moreover, the flexibility offered by many cloud services allows to easily build sophisticated services by just composing simpler ones, rather than creating them from zero. Yet, to mitigate potential security threats and keep the maximum performance at any time, a smart selection of those composite services constitutes a key aspect. In this paper, we introduce the reader to the problem of Web service selection based on their reputation scores and subsequently present a survey on some of the most relevant reputation-based Web service orchestration schemes for cloud computing in the literature. For each one of these approaches, a thorough analysis of their pros and cons has been performed, providing a comprehensive comparison amongst all of them leading to the conclusion that, to the best of our knowledge, there is no one single model elegantly fitting to each and every situation that could occur in such a dynamic environment like cloud computing. Finally, we present some current challenges and future research trends in the field of reputation-based service orchestration in cloud computing.Yet, to create a successful composite service, such as when building a puzzle, the correct pieces need to be chosen. For one or another reason (failure, malware, exhausted resources, etc), the individual services composing the bigger one might unexpectedly change their behaviour throughout time [10,11], degrading their performance (and, in turn, the performance of the composite service) or even constituting a security threat or breach. Therefore, it is a wise strategy not to base a composite service on fixed simpler ones, but rather making the latter replaceable whenever needed in order to keep always the maximum performance and level of assurance.Trust and reputation management has emerged in the last years as a smart and accurate solution to tackle these issues [12][13][14][15]. Actually those systems have been widely accepted and deployed, finding them in a multitude of different environments and scenarios [16,17]. This appealing area of knowledge has captured the attention of both industry and academia, leading to several successful products [13] and patents [18][19][20][21][22][23].In this paper, we performed a survey of some of the main research approaches dealing with the problem of reputation-based Web service (WS) orchestration for cloud computing environments. We described each of those solutions, thoroughly analysing their advantages and shortcomings. Moreover, a comprehensive comparative amongst them led us to the conclusion that none of the studied models gracefully fits to each and every situation that could emerge in a highly dynamic environment such as cloud computing. Finally, we also studied some current research challenges, as well as future trends in the field of reputation-based service orchestration in ...

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“…Many papers try to analyse TRM systems in the context of resilience to a certain attacks, but this can be perceived as an example of a reactive approach which is based on detection of certain attack signature [2], [13], [17], [20]- [22]. Such approach has very important disadvantages, more comprehensive described in [8].…”

Section: Related Workmentioning

confidence: 99%

Towards an Evaluation Model of Trust and Reputation Management Systems

Janiszewski

2017

International Journal of Electronics and Telecommunications

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Abstract-The paper presents a set of concepts which can establish a basis for the creation of new evaluation model of trust and reputation management systems (TRM). The presented approach takes into account essential characteristics of such systems to provide an assessment of its robustness. The model also specifies measures of effectiveness of trust and reputation systems. There is still a need to create a comprehensive evaluation model of attacks on trust and reputation management systems and evaluation model of TRM systems itself, which could facilitate establishing a framework to deeply evaluate the security of existing TRM systems. We believe that this paper could be perceived as a small step forward towards this goal.

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Trust and reputation models comparison

Cited by 28 publications

References 21 publications

Effects of RFID in Retailing on Customer Trust

Effects of RFID in Retailing on Customer Trust

Reputation‐based Web service orchestration in cloud computing: A survey

Towards an Evaluation Model of Trust and Reputation Management Systems

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