A new reputation algorithm for evaluating trustworthiness in e-commerce context

Rahimi, Hasnae; Bakkali, Hanan El

doi:10.1109/jns3.2013.6595455

Cited by 12 publications

(3 citation statements)

References 8 publications

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“…To name a few, economics, marketing, politics, sociology, psychology, etc. have all studied reputation in one context or the other [16,13,40,19]. In the recent past, these research activities have gained momentum.…”

Section: Related Workmentioning

confidence: 99%

Automated conflict resolution in collaborative data sharing systems using community feedbacks

Khazalah

Malik

Rezgui

2015

Information Sciences

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Section: Related Workmentioning

confidence: 99%

Automated conflict resolution in collaborative data sharing systems using community feedbacks

Khazalah

Malik

Rezgui

2015

Information Sciences

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“…Given the aforementioned insights, the motive for establishing trustworthiness management for SIoT is indisputable. Over the past few years, a number of studies have been proposed in an effort to address the challenges of trustworthiness management in a variety of disciplines including but not limited to mobile and vehicular ad hoc networks [7], peer-to-peer networks [8], online social networks (for the identification of malicious users and sometimes fake stories) [9], and e-commerce (wherein the credibility of a service provider (i.e., retailer) is shared by users by the means of transactions) [10]. The notion of Fig.…”

Section: Introductionmentioning

confidence: 99%

Trust–SIoT: Toward Trustworthy Object Classification in the Social Internet of Things

Sagar

Mahmood

Wang

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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The emerging yet promising paradigm of the Social Internet of Things (SIoT) integrates the notion of the Internet of Things with human social networks. In SIoT, objects, i.e., things, have the capability to socialize with the other objects in the SIoT network and can establish their social network autonomously by modeling human behaviour. The notion of trust is imperative in realizing these characteristics of socialization in order to assess the reliability of autonomous collaboration. The perception of trust is evolving in the era of SIoT as an extension to traditional security triads in an attempt to offer secure and reliable services, and is considered as an imperative aspect of any SIoT system for minimizing the probable risk of autonomous decision-making. This research investigates the idea of trust quantification by employing trust measurement in terms of direct trust, indirect trust as a recommendation, and the degree of SIoT relationships in terms of social similarities (communityof-interest, friendship, and co-work relationships). A weighted sum approach is subsequently employed to synthesize all the trust features in order to ascertain a single trust score. The experimental evaluation demonstrates the effectiveness of the proposed model in segregating trustworthy and untrustworthy objects and via identifying the dynamic behaviour (i.e., trust-related attacks) of the SIoT objects.

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“…The concept of trustworthiness management is evolving rapidly and has been widely employed in various disciplines [62][63][64] [72] and applications (e.g., crowdsourcing, social recommendation) [69][73] [74]. It is, therefore, important to distinguish the ideal optimal parameters for any IoT specific ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Trustworthiness Management in the Social Internet of Things: A Survey

Sagar¹,

Mahmood²,

Sheng³

et al. 2022

Preprint

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A new reputation algorithm for evaluating trustworthiness in e-commerce context

Cited by 12 publications

References 8 publications

Automated conflict resolution in collaborative data sharing systems using community feedbacks

Automated conflict resolution in collaborative data sharing systems using community feedbacks

Trust–SIoT: Toward Trustworthy Object Classification in the Social Internet of Things

Understanding the Trustworthiness Management in the Social Internet of Things: A Survey

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