Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach

Sagar, Subhash; Mahmood, Adnan; Sheng, Quan Z.; Zaib, Munazza; Zhang, Wei Emma

doi:10.1145/3448891.3448927

Cited by 18 publications

(16 citation statements)

References 19 publications

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“…Nevertheless, performance evaluation in presence of many trust-related attacks and the discussion on suitability of bipartite graph is not known. A social similarity-based trust computational model is presented in [144] where a k-means clustering and random forest classification is used to analyze the trust of the nodes over a period of time. Nevertheless, the proposed solution has no defence mechanism to tackle the trust attacks and is computationally -Direct observation -Reputation -The framework presents a enhanced security mechanism by exploiting prioritization rules, certificates and trust management policies to detect hijacked nodes in the network.…”

Section: Yesmentioning

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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Section: Yesmentioning

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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“…Moreover, the same trust parameters can be calculated in different ways. For example, the calculation of Community of Interest (CoI) in [37,48] is as follows:…”

Section: Trust Parametersmentioning

confidence: 99%

“…In [48], the authors calculated the community-based trust characteristics of the trustee relative to the trustor at time t.…”

mentioning

confidence: 99%

Towards Strengthening the Resilience of IoV Networks—A Trust Management Perspective

et al. 2022

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Over the past decade or so, considerable and rapid advancements in the state of the art within the promising paradigms of the Internet of Things (IoT) and Artificial Intelligence (AI) have accelerated the development of conventional Vehicular Ad Hoc Networks (VANETS) into the Internet of Vehicles (IoV), thereby bringing both connected and autonomous driving much closer to realization. IoV is a new concept in the Intelligent Traffic System (ITS) and an extended application of IoV in intelligent transportation. It enhances the existing capabilities of mobile ad hoc networks by integrating them with IoT so as to build an integrated and unified vehicle-to-vehicle network. It is worth mentioning that academic and industrial researchers are paying increasing attention to the concept of trust. Reliable trust models and accurate trust assessments are anticipated to improve the security of the IoV. This paper, therefore, focuses on the existing trustworthiness management models along with their corresponding trust parameters, as well as the corresponding trust evaluation parameters and simulation, which provide the basis for intelligent and efficient model suggestions and optimal parameter integration. In addition, this paper also puts forward some open research directions that need to be seriously solved before trust can play its due role in enhancing IoV network elasticity.

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“…To combine various trust features (TAs) in order to determine an overall trust value of one node with respect to another node in time 't' [106].…”

Section: Machine Learningmentioning

confidence: 99%

“…Time-Driven [63], [80], [81], [82], [84], [85], [87], [7], [89], [90], [95], [96], [97], [102], [103], [106], [109], [110], [78], [112], [114], [115] [132], [133] [79], [86], [88], [98], [100], [101],…”

Section: Classification Of Studies On the Basis Of Trust Update Schem...unclassified

Trust Management in Social Internet of Things (SIoT): A Survey

et al. 2022

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A survey on trust management in the Social Internet of Things (SIoT) is provided, beginning with a discussion of SIoT architectures and relationships. Using a variety of publication databases, we describe efforts that focus on various trust management aspects of SIoT . Trust management models comprise three themes: trust computation, aggregation, and updates. Our study presents a detailed discussion of all three steps. Trust computation and trust aggregation depend upon Trust Attributes (TAs) for the calculation of local and global trust values. Our paper discusses many strategies for aggregating trust, but "Weighted Sum" is the most frequently used in the relevant studies. Our paper addresses trust computation and aggregation scenarios. Our work classifies research by TAs (Social Trust, Quality of Service). We've categorized the research (reputation-based, recommendation-based, knowledge-based) depending on the types of feedback/opinions used to calculate trust values (global feedback/opinion, feedback from a friend, trustor's own opinion considering the trustee's information). Our work classifies studies (policy-based, prediction-based, weighted sum-based/weighted linear combination-based) by trust computation/aggregation approach. Two trust-update schemes are discussed: time-driven and event-driven schemes, while most trust management models utilize an event-driven scheme. Both trust computation and aggregation need propagating trust values in a centralized, decentralized, or semi-centralized way. Our study covers classifying research by trust updates and propagation techniques. Trust models should provide resiliency to SIoT attacks. This analysis classifies SIoT attacks as collaborative or individual. We also discuss scenarios depicted in the relevant studies to incorporate resistance against trust-related attacks in SIoT. Studies suggest context-based or context-free trust management strategies. Our study categorizes studies based on context-based or contextfree approaches. To gain the benefits of an immutable, privacy-preserving approach, a future trust management system should utilize Blockchain technology to support non-repudiation and tracking of trust relationships.

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Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach

Cited by 18 publications

References 19 publications

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

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

Towards Strengthening the Resilience of IoV Networks—A Trust Management Perspective

Trust Management in Social Internet of Things (SIoT): A Survey

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