Research on Intelligent Traffic Control Model and Simulation Based on the Internet of Things and Cloud Platform

2016 ◽  
Vol 13 (12) ◽  
pp. 9886-9892 ◽  
Author(s):  
Chengtao Cao ◽  
Feng Cui ◽  
Lunhui Xu
Keyword(s):  
Internet Of Things ◽  
Traffic Control ◽  
Control Model ◽  
The Internet ◽  
Cloud Platform ◽  
Model And Simulation ◽  
Simulation Based ◽  
The Internet Of Things

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Information Flow Control Based on the CapBAC (Capability-Based Access Control) Model in the IoT

2019 ◽  
Vol 10 (4) ◽  
pp. 13-25 ◽  
Author(s):  
Shigenari Nakamura ◽  
Tomoya Enokido ◽  
Makoto Takizawa
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Information Flow ◽  
Control Model ◽  
The Internet ◽  
Information Flow Control ◽  
The Subject ◽  
Access Rights ◽  
Iot Devices ◽  
The Internet Of Things

In the Internet of Things (IoT), not only computers like servers but also devices with sensor and actuator devices are interconnected. It is critical to make the IoT secure, especially devices. In the capability-based access control (CapBAC) model proposed to make IoT devices secure, an owner of each device issues a capability token, i.e. a set of access rights, to a subject. Only a subject holding the capability token is allowed to manipulate the device. However, a subject may get data in a device d1 via another device d2 although the subject holds no capability token to get data from the device d1. Here, the data in the device d1 illegally flow to the subject. In this article, the authors propose the operation interruption (OI) protocol where illegal get operations are interrupted. In the evaluation, the ratio of the number of get operations interrupted to the total number of get operations is kept constant even if the numbers of subjects and access rights granted to each subject increase in the OI protocol.

scholarly journals Influence of Montoring: Fog and Edge Computing

2019 ◽  
Vol 20 (2) ◽  
pp. 365-376 ◽  
Author(s):  
Vivek Kumar Prasad ◽  
Madhuri D Bhavsar ◽  
Sudeep Tanwar
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Cloud Platform ◽  
The World ◽  
Iot Devices ◽  
Edge And Fog Computing ◽  
The Impact ◽  
The Internet Of Things

The evolution of the Internet of Things (IoT) has augmented the necessity for Cloud, edge and fog platforms. The chief benefit of cloud-based schemes is they allow data to be collected from numerous services and sites, which is reachable from any place of the world. The organizations will be benefited by merging the cloud platform with the on-site fog networks and edge devices and as result, this will increase the utilization of the IoT devices and end users too. The network traffic will reduce as data will be distributed and this will also improve the operational efficiency. The impact of monitoring in edge and fog computing can play an important role to efficiently utilize the resources available at these layers. This paper discusses various techniques involved for monitoring for edge and fog computing and its advantages. The paper ends with a case study to demonstarte the need of monitoring in fog and edge in the healthcare system.

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