SIoT: Giving a Social Structure to the Internet of Things

Atzori, Luigi; Iera, Antonio; Morabito, Giacomo

doi:10.1109/lcomm.2011.090911.111340

Cited by 556 publications

(302 citation statements)

References 7 publications

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“…We consider a CoI-based social IoT [3] environment where nodes form into communities of interest ( Figure 1). Each node has a unique address to identify.…”

Section: System Modelmentioning

confidence: 99%

“…A trust management protocol must address this issue to allow newly joining nodes to build up trust quickly with a reasonable degree of accuracy [22]. Third, the building blocks or entities of IoT systems are mostly human carried or human operated devices [3]. Trust management must take into account social relationships among entity owners in order to maximize protocol performance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Scalable, adaptive and survivable trust management for community of interest based Internet of Things systems

Bao

Chen

Guo

2013

2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS)

147

102

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Abstract-An Internet of Things (IoT) system connects a large amount of tags, sensors, and mobile devices to facilitate information sharing, enabling a variety of attractive applications. It challenges the design and evaluation of IoT systems to meet the scalability, compatibility, extendibility, dynamic adaptability and resiliency requirements. In this paper, we design and evaluate a scalable, adaptive and survivable trust management protocol in dynamic IoT environments. Recognizing that entities in an IoT system are connected through social networks of entity owners, we consider a community of interest (CoI) based social IoT where nodes form into communities of interest. Given inter-CoI vs. intra-CoI social connections among entity owners as input, we identify best trust protocol settings for achieving convergence, accuracy, dynamic adaptability and resiliency properties in the presence of dynamically changing conditions and malicious nodes performing trust-related attacks. For scalability, we consider a design by which a node only keeps trust information of a subset of nodes meeting its interest and performs minimum computation to update trust. We validate our design by extensive simulation considering both limited and ideal (unlimited) storage space. The results demonstrate that our trust management protocol using limited storage space achieves a similar performance level compared with the one under ideal storage space, and a newly joining node can quickly build up trust towards other nodes with desirable accuracy and convergence behavior.

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“…We consider a CoI-based social IoT [3] environment where nodes form into communities of interest ( Figure 1). Each node has a unique address to identify.…”

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scalable, adaptive and survivable trust management for community of interest based Internet of Things systems

Bao

Chen

Guo

2013

2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS)

147

102

View full text Add to dashboard Cite

show abstract

“…If there are many devices, the social relation among devices can be defined like human social relation [9]. The device social relation can be defined as the possible set of device interactions [12].…”

Section: Device Sociality Frameworkmentioning

confidence: 99%

“…A rule-based autonomous method was proposed for the self-adaption abilities of machines to change their own actions autonomously against environment [8]. And, there have been some other studies to connect devices by using the concept of social relation among devices [9]- [13]. However, few researches dealt with the automatic generation of device social relation and how to make devices collaborate without human intervention.…”

Section: Introductionmentioning

confidence: 99%

Clustering Approach of Device Interactions for Automatic Generation of Device Social Relation

Kang¹,

Choi²,

Jung³

et al. 2015

IJMLC

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Abstract-Recent increase of devices around us requires autonomous device interactions for convenient device collaboration. In this paper, we proposed a method to generate the device social relation without human intervention by clustering approach of device interactions. With the previously proposed device sociality framework, the proposed method can give autonomous device collaboration by using device sociality concept to minimize human intervention. To show the feasibility of the proposed method, we applied it to a group of smart devices in an office.

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“…The vision for future IoT is ubiquitous, "everything connected, intelligent controlling, and anywhere covering". Towards IoT, studies have been worked on its models and frameworks [2][3][4][5][6][7]. The realization of future IoT will probably require dramatic changes in systems, architectures, communications and networking, especially identification for "everything".…”

Section: Introductionmentioning

confidence: 99%

Tree-Code modeling and addressing for non-ID physical objects in the Internet of Things

Ning

et al. 2014

Telecommun Syst

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The Internet of Things (IoT) is an emerging network paradigm, and realizes the interconnection among ubiquitous things, along with its corresponding applications and services in both Physical-world and Cyber-world. Some researches have been worked on IoT modeling and addressing, which are mainly based on objects with a unique identifier (ID). However, in practical scenarios, there are several objects without any available ID, namely non-ID (i.e., nID) physical objects, including the objects unattached any ID itself, and the objects attached unreadable or un-trusted ID. It turns out that the nID physical objects related issues become noteworthy. In this paper, we focus on the nID physical objects to present a modeling and addressing solution. Concretely, (1) nID physical objects are described along with the discussion of applying nID solution; (2) a tree-like code structure (i.e., Tree-Code) is introduced to establish a unified modeling scheme for the nID physical objects according to abstracted data elements, and also achieves the compatibility with the ID physical objects considering the ID based data elements; (3) Tree-Code based addressing scheme is

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SIoT: Giving a Social Structure to the Internet of Things

Cited by 556 publications

References 7 publications

Scalable, adaptive and survivable trust management for community of interest based Internet of Things systems

Scalable, adaptive and survivable trust management for community of interest based Internet of Things systems

Clustering Approach of Device Interactions for Automatic Generation of Device Social Relation

Tree-Code modeling and addressing for non-ID physical objects in the Internet of Things

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