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

Sagar, Subhash; Mahmood, Adnan; Sheng, Quan Z.; Pabani, Jitander Kumar; Zhang, Wei Emma

doi:10.48550/arxiv.2202.03624

Cited by 4 publications

(5 citation statements)

References 127 publications

(207 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The notion of trust is a fundamental aspect of human society and with the advancement in science (e.g., in terms of software and hardware), the concept of trust has been utilized in a number of disciplines (i.e., sociology, psychology, economics and computer science) [12] [13]. The concept of trust differs across disciplines and the fundamental definition of trust is "the confidence of a trustor in a trustee," and perceptions of trust depend on a variety of facets, including but not limited to, temporal factors, environmental factors, and human propensities [14]. In computer science, trust is considered as network and information security, and a system is believed to be trustworthy if it is secure and can categorize the individual accessing a particular system in order to guarantee the integrity and privacy of the information.…”

Section: Trust Conceptmentioning

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.

View full text Add to dashboard Cite

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.

show abstract

Section: Trust Conceptmentioning

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.

View full text Add to dashboard Cite

show abstract

“…The trustworthiness of an object plays a vital role in S-IoT applications because an untrustworthiness object may disrupt the system's functionality, quality and service reliability. A comprehensive review of trust-evaluation models for S-IoT has been carried out in (Sagar et al, 2022a). In this holistic survey, the author emphasizes five components: The essence of trust, trust management components, trust management schemes, the performance of trust-evaluation models and trust management in S-IoTbased applications.…”

Section: Trust Management In S-iotmentioning

confidence: 99%

A Comprehensive Survey on Security, Trust Management and Privacy Preservation for Social-Internet-of-Things (S-IoT)

Rahul¹,

Venkatesh²,

Venugopal³

2023

Journal of Computer Science

View full text Add to dashboard Cite

The Social Internet of Things (S-IoT) is a new paradigm that evolved with a convergence of social networking concepts and internet of things concepts. This paradigm helps develop intelligent devices and services with higher utility. The new paradigm enriches the social interaction between human's objects, heterogenous social objects interaction, the discovery of service and scalability. In recent years, S-IoT has been researching a hot topic and has drawn the attention of researchers, resulting in research on trust management, privacy preservation, service provisioning and security mechanisms. However, S-IoT faces new research challenges like interoperability, trustworthiness, security threats, scalability, navigability, service discovery and composition. In line with the research trend, this article provides a systematic survey of fundamental concepts of S-IoT and IoT, distinguishable characteristics of S-IoT and IoT and research challenges in S-IoT. This survey thoroughly reviews secure communication mechanisms, privacy-preservation techniques and the trust-evaluation model in S-IoT. Furthermore, we accentuate the privacy-preservation mechanism proposed in the literature for seven years and explored research areas. The holistic survey gives an overview of trust-evaluation models with respect to the service provider's perspective. This article overviews secure communication protocols and architecture in the S-IoT context. Finally, various research gaps, applications of S-IoT and research directions help a researcher to carry out research work in S-IoT.

show abstract

“…The collection and processing of such data requires some technique (like a machine learning technique) to collect the data and process it accordingly. An example is watering a tomato garden at some regular intervals [23].…”

Section: B Characteristics Of Iot Datamentioning

confidence: 99%

Quality of Data (QoD) in Internet of Things (IOT): An Overview, State-of-the-Art, Taxonomy and Future Directions

Yalli,

Hasan,

Haron

et al. 2023

IJACSA

View full text Add to dashboard Cite

The Internet of Things (IoT) data is the main component for finding the basis that allows decisions to be made intelligently and enables other services to be explored and used. Data originates from smart things that have the capabilities to connect and share data enormously with other things in the IoT ecosystem. However, the level of intelligence obtained and the type of services provided, all depend on whether the data is trusted or not. High-quality data is the most trusted;, it can be used to extract meaningful insights from an event and can also be used to provide good services to humans. Therefore, decisions based on high-quality and trusted data could be good, whereas those based on low-quality or untrusted data are not only bad but could also have severe consequences. The term Quality of Data (QoD) is used to represent data trustworthiness and is used throughout this paper. To the best of our knowledge, this work is the first to coin the term QoD. The problems that hinder QoD are identified and discussed. One if it is an outlier, it is a major feature of the data that degrades its overall quality. Several machine-learning techniques that detect outliers have been studied and presented, with few data-cleaning techniques. This paper aims to present the elements necessary to ensure QoD by presenting the overview of the IoT state-of-the-art. Then, data quality, data in IoT, and outliers are studied, and some quality assurance techniques that maintain data quality is presented. A comprehensive taxonomy is shown to provide state-of-the-art data in IoT. Open issues and future directions were suggested at the end of the paper.

show abstract

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

Cited by 4 publications

References 127 publications

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

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

A Comprehensive Survey on Security, Trust Management and Privacy Preservation for Social-Internet-of-Things (S-IoT)

Quality of Data (QoD) in Internet of Things (IOT): An Overview, State-of-the-Art, Taxonomy and Future Directions

Contact Info

Product

Resources

About