A Security Protection Framework for Cloud Computing

doi:10.3745/jips.03.0053

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…In addition, because the users can utilize all of the services in their smart home by remote devices out of the home, it should be careful not to be infected by malicious code, with respect to malicious users capturing or hacking the remote devices. Furthermore, malicious users should not be able to easily access the smart home system even if the remote devices are stolen, too [19].…”

Section: Security Threatsmentioning

confidence: 99%

A Study on a JWT-Based User Authentication and API Assessment Scheme Using IMEI in a Smart Home Environment

et al. 2017

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The development of information and communication technology (ICT) has opened the era of the Internet of Things (IoT), in which many devices can connect to the Internet to communicate. Recently, various technologies, such as smart grids, connected cars, and smart farms, have emerged based on IoT, and there is also the smart home, which is the fastest growing market. The smart home is where devices installed for various purposes connect to each other through the Internet so that users can use the service anytime and anywhere. However, while the smart home provides convenience to users, recently the smart home has been exposed to various security threats, such as vulnerability of session/cookies and the use of vulnerable OAuth. In addition, attacks on smart homes by hackers using these vulnerabilities are also increasing. Therefore, in this paper, we propose a user authentication method using the JSON Web Token (JWT) and International Mobile Equipment Identity (IMEI) in the smart home, and solved the problem of unauthorized smart home device registration of hackers by the application of IMEI and JWT technology.

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Section: Security Threatsmentioning

confidence: 99%

A Study on a JWT-Based User Authentication and API Assessment Scheme Using IMEI in a Smart Home Environment

et al. 2017

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“…Thus, organizations and individuals of all sizes can utilize cloud technologies to enhance their needs. A multi-factor authentication scheme with an efficient access key distribution mechanism is proposed, which not only provides strong remote Literature [17] experimented with a new type of computing using cloud computing network technology that provides dynamically scalable and reconfigurable resources over the Internet. Malicious workers can be classified into colluding and non-colluding workers, who try to produce undesirable results and thus attack cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Effective combination and application path of computer big data analysis and cloud computing network technology

Liu

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, based on the data mining algorithm to obtain a collection of big data attributes, the information entropy detection is used to analyze the data distribution characteristics, and the clustering center is extracted. Normalize the feature data, calculate the judgment matrix in the mining process based on the condition set, and perform normalization. The redundant features are extracted from the data to be mined, and the weight vector value of each feature is obtained to obtain the processed feature subset. The results show that the importance score and security score are above 6. The combination with cloud computing network technology in computer big data analysis helps improve data processing efficiency and provides more reliable data support for social and economic development.

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“…Cloud computing [28,29] provides shared computer processing resources and data to computers and other devices on demand. In this study, we employed the cloud model to create a three-dimensional (3D) reconstruction framework for multiple remote robots.…”

Section: Introductionmentioning

confidence: 99%

3D Reconstruction Framework for Multiple Remote Robots on Cloud System

et al. 2017

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This paper proposes a cloud-based framework that optimizes the three-dimensional (3D) reconstruction of multiple types of sensor data captured from multiple remote robots. A working environment using multiple remote robots requires massive amounts of data processing in real-time, which cannot be achieved using a single computer. In the proposed framework, reconstruction is carried out in cloud-based servers via distributed data processing. Consequently, users do not need to consider computing resources even when utilizing multiple remote robots. The sensors' bulk data are transferred to a master server that divides the data and allocates the processing to a set of slave servers. Thus, the segmentation and reconstruction tasks are implemented in the slave servers. The reconstructed 3D space is created by fusing all the results in a visualization server, and the results are saved in a database that users can access and visualize in real-time. The results of the experiments conducted verify that the proposed system is capable of providing real-time 3D scenes of the surroundings of remote robots.

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A Security Protection Framework for Cloud Computing

Cited by 5 publications

References 7 publications

A Study on a JWT-Based User Authentication and API Assessment Scheme Using IMEI in a Smart Home Environment

A Study on a JWT-Based User Authentication and API Assessment Scheme Using IMEI in a Smart Home Environment

Effective combination and application path of computer big data analysis and cloud computing network technology

3D Reconstruction Framework for Multiple Remote Robots on Cloud System

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