M4M: A model for enabling social network based sharing in the Internet of Things

Deshpande, Pralhad; Kodeswaran, Palanivel; Banerjee, Nilanjan; Nanavati, Amit A.; Chhabra, Deepika; Kapoor, Shalini

doi:10.1109/comsnets.2015.7098685

Cited by 16 publications

(4 citation statements)

References 8 publications

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“…3) Objective Modular Network Testbed in C++ (OM-NET++): OMNET++ is another popular discrete event simulation tool extensively utilized in sensor networks research. Furthermore, OMNET++ is well-established and extensive, thus, it can integrate the external factor for specialized environment needs, e.g., to add the mobility for vehicular network [186], incorporate the social profiles of objects to enhance the application capabilities [187]. In general, due to its flexible nature, this simulation tool can be utilized in various domains and applications.…”

Section: A Siot Simulation Toolsmentioning

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: A Siot Simulation Toolsmentioning

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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“…There are some interesting models in this area. Deshpande et al developed a social network-based model to enable access controlled sharing of device capabilities in the IoT [14]. A prototype was implemented that uses public APIs to show the feasibility of the model.…”

Section: Trust Models Of Iotmentioning

confidence: 99%

Clarifying Trust in Social Internet of Things

Lin,

Dong

2017

Preprint

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A social approach can be exploited for the Internet of Things (IoT) to manage a large number of connected objects. These objects operate as autonomous agents to request and provide information and services to users. Establishing trustworthy relationships among the objects greatly improves the effectiveness of node interaction in the social IoT and helps nodes overcome perceptions of uncertainty and risk. However, there are limitations in the existing trust models. In this paper, a comprehensive model of trust is proposed that is tailored to the social IoT. The model includes ingredients such as trustor, trustee, goal, trustworthiness evaluation, decision, action, result, and context. Building on this trust model, we clarify the concept of trust in the social IoT in five aspects such as (1) mutuality of trustor and trustee, (2) inferential transfer of trust, (3) transitivity of trust, (4) trustworthiness update, and (5) trustworthiness affected by dynamic environment. With network connectivities that are from real-world social networks, a series of simulations are conducted to evaluate the performance of the social IoT operated with the proposed trust model. An experimental IoT network is used to further validate the proposed trust model.

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“…Deshpande et al [19] propose a Machine-4-Machine (M4M) abstract model where friends in a social network can share various device capabilities with their peers. They also introduce an algorithm that enriches the level of sharing of IoT devices by suggesting friendship recommendations.…”

Section: State Of the Artmentioning

confidence: 99%

Enabling smart objects discovery via constructing hypergraphs of heterogeneous IoT interactions

Jung

Chun

Jin

et al. 2016

Journal of Information Science

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Recent advances in the Internet of Things (IoT) have led to the rise of a new paradigm: Social Internet of Things (SIoT). However, the new paradigm, as inspired by the idea that smart objects will soon have a certain degree of social consciousness, is still in its infant state for several reasons. Most of the related works are far from embracing the social aspects of smart objects and the dynamicity of inter-object social relations. Furthermore, there is yet to be a coherent structure for organising and managing IoT objects that elicit social-like features. To fully understand how and to what extent these objects mimic the behaviours of humans, we first model SIoT by scrutinising the distinct characteristics and structural facets of human-centric social networks. To elaborate, we describe the process of profiling the IoT objects that become social and classify various inter-object social relationships. Afterwards, a novel discovery mechanism, which utilises our hypergraph-based overlay network model, is proposed. To test the feasibility of the proposed approach, we have performed several experiments on our smart home automation demo box built with various sensors and actuators.

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M4M: A model for enabling social network based sharing in the Internet of Things

Cited by 16 publications

References 8 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

Clarifying Trust in Social Internet of Things

Enabling smart objects discovery via constructing hypergraphs of heterogeneous IoT interactions

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