Potential Identity Resolution Systems for the Industrial Internet of Things: A Survey

Ren, Yuzheng; Xie, Renchao; Yu, F. Richard; Huang, Tao; Liu, Yunjie

doi:10.1109/comst.2020.3045136

Cited by 43 publications

(12 citation statements)

References 127 publications

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“…Multiple parties with expertise in their particular areas now work together to produce final products using smart manufacturing. A recent research [277] proposed a detailed review of identity and authorization management frameworks for Industrial IoT (IIoT), which is the critical requirement for secure smart manufacturing. To have automated control, the following three major areas of manufacturing must be shifted to data-based automated control [274].…”

Section: Smart Economymentioning

confidence: 99%

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects

Javed

Shahzad

Rehman

et al. 2022

Cities

283

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Section: Smart Economymentioning

confidence: 99%

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects

Javed

Shahzad

Rehman

et al. 2022

Cities

283

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“…Semantic routing uses the mapping relationship between query keywords and nodes to forward query requests to some nodes that are considered most likely to meet the request. is method is similar to prefix matching, but it directly maps the resource key to the resource index position, and the query key adopts the same semantic representation as the resource key [13]. In this paper, the corresponding relationship between the query key word and the index position of the perception node is established, and the query packet is routed to the corresponding perception node through the query key word.…”

Section: Cross-border E-commerce Frameworkmentioning

confidence: 99%

Analysis of Cross-Border E-Commerce Commodities in Internet of Things Based on Semantic Traceability Algorithm

Liu¹

2022

Mathematical Problems in Engineering

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With the advancement of economic globalization and the continuous development of “Internet +” economy, cross-border e-commerce has become an important part of participating in international economic exchanges and developing foreign trade. As the direct participation of consumers, cross-border online shopping has gradually become an important way for people to obtain overseas commodities. The phenomenon of fake products and parallel goods is serious in e-commerce online shopping. How to use the existing Internet of Things to achieve product traceability is an important research topic. For different modes of cross-border online shopping, this paper combines the traceability algorithm with the idea of semantic routing, proposes a Semantic Web-based traceability algorithm, and constructs a quality safety traceability system. In order for consumers to accurately know the product quality of sellers, the product traceability model of cross-border e-commerce relying on Semantic Web is constructed to prevent false information from recording product information from the product source. Through the tracing query algorithm, the simulation results show that the hop number of routes between nodes is 1, and the tracing algorithm can quickly determine the identity of online goods. The network delay is mostly distributed between 0 and 0.05 s, which meets the real-time requirements of the Internet of Things.

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“…The absence of the identity protocol layer will shift the responsibility of identity verification to service providers, leading to inefficiency. Thirdly, the identity resolution system can achieve better management of various network devices [140]. It can identify various subjects such as terminals, network equipment, service resources and data, thus realizing the joint optimization of multiple systems and the unified scheduling of resources.…”

Section: Information Layermentioning

confidence: 99%

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

Tang,

Yu,

Xie

et al. 2022

Preprint

Self Cite

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The Internet of intelligence is conceived as an emerging networking paradigm, which will make intelligence as easy to obtain as information. This paper provides an overview of the Internet of intelligence, focusing on motivations, architecture, enabling technologies, applications, and existing challenges. This can provide a good foundation for those who are interested to gain insights into the concept of the Internet of intelligence and the key enablers of this emerging networking paradigm. Specifically, this paper starts by investigating the evolution of networking paradigms and artificial intelligence (AI), based on which we present the motivations of the Internet of intelligence by demonstrating that networking needs intelligence and intelligence needs networking. We then present the layered architecture to characterize the Internet of intelligence systems and discuss the enabling technologies of each layer. Moreover, we discuss the critical applications and their integration with the Internet of intelligence paradigm. Finally, some technical challenges and open issues are summarized to fully exploit the benefits of the Internet of intelligence.

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Potential Identity Resolution Systems for the Industrial Internet of Things: A Survey

Cited by 43 publications

References 127 publications

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects

Analysis of Cross-Border E-Commerce Commodities in Internet of Things Based on Semantic Traceability Algorithm

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

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