Cloud-based privacy- and integrity-protecting density peaks clustering

Yang, Haomiao; Liang, Shaopeng; Zhang, Yi; Li, Xiong

doi:10.1016/j.future.2021.07.027

Cited by 9 publications

(3 citation statements)

References 27 publications

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“…Now, more and more people begin to use cloud computing, and various applications based on cloud platforms emerge in endlessly. Baidu cloud disk, 360 cloud disk, and other applications are becoming more and more popular, which also confirms this situation [7]. However, because the application data in the cloud platform are stored in the server, in this case, if the system data is lost or damaged, it will have a disastrous impact on a large number of users [8].…”

Section: Cloud Computing Technology Has Been Involved In Manymentioning

confidence: 76%

Computer Security Issues and Legal System Based on Cloud Computing

Li¹

2022

Computational Intelligence and Neuroscience

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To effectively improve the security and accuracy of computer information storage, a computer security problem and legal system based on cloud computing are proposed. Firstly, this article details the evolution of cloud computing, its characteristics, architecture, and application status of cloud computing in detail. Second, we discussed security strategies to ensure the confidentiality and integrity of cloud computing information, focuses on the data encryption technology of cloud data security, and designs and implements the data backup and recovery system based on the cloud platform. The core layers of the system are the system layer and data operation layer. The system uses multithreading technology based on epoll and thread pool to improve the efficiency of data transmission. At the same time, the basic visual page is realized, and users can use the page to create a convenient operating system. Finally, the system is built in the laboratory environment and tested as a whole. The test results show that through the performance comparison with the current commonly used systems, it is found that the system in this paper has a certain improvement in data transmission rate, but the utilization rate of node CPU is as high as 40%, which leads to certain requirements for node CPU performance. Therefore, the system meets the functional requirements proposed in the design. Compared to the existing system, its performance has been found to meet the actual requirements of use, proving that the system is accessible and efficient.

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Section: Cloud Computing Technology Has Been Involved In Manymentioning

confidence: 76%

Computer Security Issues and Legal System Based on Cloud Computing

Li¹

2022

Computational Intelligence and Neuroscience

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“…The Brakerski/Fan-Vercauteren (BFV) plan [29] is the most effective fully homomorphic encryption program and encourages arbitrary multiplication and addition to encrypted messages [30]. The elegant/simple BFV approach performs well in cloud-based and secure technology [31,32].…”

Section: Related Workmentioning

confidence: 99%

Privacy-Preserving Convolutional Bi-LSTM Network for Robust Analysis of Encrypted Time-Series Medical Images

Kolhar,

Aldossary

2023

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Deep learning (DL) algorithms can improve healthcare applications. DL has improved medical imaging diagnosis, therapy, and illness management. The use of deep learning algorithms on sensitive medical images presents privacy and data security problems. Improving medical imaging while protecting patient anonymity is difficult. Thus, privacy-preserving approaches for deep learning model training and inference are gaining popularity. These picture sequences are analyzed using state-of-the-art computer aided detection/diagnosis techniques (CAD). Algorithms that upload medical photos to servers pose privacy issues. This article presents a convolutional Bi-LSTM network to assess completely homomorphic-encrypted (HE) time-series medical images. From secret image sequences, convolutional blocks learn to extract selective spatial features and Bi-LSTM-based analytical sequence layers learn to encode time data. A weighted unit and sequence voting layer uses geographical with varying weights to boost efficiency and reduce incorrect diagnoses. Two rigid benchmarks—the CheXpert, and the BreaKHis public datasets—illustrate the framework’s efficacy. The technique outperforms numerous rival methods with an accuracy above 0.99 for both datasets. These results demonstrate that the proposed outline can extract visual representations and sequential dynamics from encrypted medical picture sequences, protecting privacy while attaining good medical image analysis performance.

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“…Moreover, DSNs are widely used due to their significant advantages, such as flexible nodes, reliable transmission, multiple data transmission paths, and simple network layout [5]. In multisensor information fusion systems, both centralized and distributed architectures are commonly employed [6][7][8][9]. In a centralized data fusion structure, sensor data are sent directly to the data fusion center for processing, which minimizes information loss.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

Wang

Lin

et al. 2023

Future Internet

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The Industrial Internet of Things (IIoT) refers to the application of the IoT in the industrial field. The development of fifth-generation (5G) communication technology has accelerated the world’s entry into the era of the industrial revolution and has also promoted the overall optimization of the IIoT. In the IIoT environment, challenges such as complex operating conditions and diverse data transmission have become increasingly prominent. Therefore, studying how to collect and process a large amount of real-time data from various devices in a timely, efficient, and reasonable manner is a significant problem. To address these issues, we propose a three-level networking model based on distributed sensor self-networking and cloud server platforms for networking. This model can collect monitoring data for a variety of industrial scenarios that require data collection. It enables the processing and storage of key information in a timely manner, reduces data transmission and storage costs, and improves data transmission reliability and efficiency. Additionally, we have designed a feature fusion network to further enhance the amount of feature information and improve the accuracy of industrial data recognition. The system also includes data preprocessing and data visualization capabilities. Finally, we discuss how to further preprocess and visualize the collected dataset and provide a specific algorithm analysis process using a large manipulator dataset as an example.

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Cloud-based privacy- and integrity-protecting density peaks clustering

Cited by 9 publications

References 27 publications

Computer Security Issues and Legal System Based on Cloud Computing

Computer Security Issues and Legal System Based on Cloud Computing

Privacy-Preserving Convolutional Bi-LSTM Network for Robust Analysis of Encrypted Time-Series Medical Images

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

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