A Decryptable Attribute-Based Keyword Search Scheme on eHealth Cloud in Internet of Things Platforms

Guo, Lei; Zhihao, Li; Yau, Wei-Chuen; Tan, Syh-Yuan

doi:10.1109/access.2020.2971088

Cited by 18 publications

(7 citation statements)

References 40 publications

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“…Since the previous frame image is added with pseudorandom sequence and the latter frame image is subtracted with pseudorandom sequence, it has little impact on vision as a whole, which is the effect of hybrid complementarity. After complementary scrambling of the original image, the overall time domain and frequency domain are changed, which can also achieve the purpose of protecting the useful information of the image [23][24][25].…”

Section: Design Of Antileakage Methods Of Digital Videomentioning

confidence: 99%

Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Sun

Jiao

2022

Security and Communication Networks

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In order to better realize and ensure the security performance of network information itself, various possible risks must be prevented in advance, and a more reliable operation environment must be created as much as possible. A research study on computer video information encryption and antileakage technology based on the digital information method is proposed. Through the research on the working principle of computer display systems, this paper analyzes the common leakage sources. On this basis, it analyzes how to protect the electromagnetic wave leaked from the computer display system. Finally, it is proposed that the protective measure adopted in this paper is (transient electronic pulse emission survey technology, tempest) technology; that is, the image is processed at the source of image information to reduce the electromagnetic radiation of useful information. The corresponding digital filter is designed by fir, and the combined filtering of digital filter and analog filter is applied to eliminate the inherent disadvantage of periodic fluctuation of insertion loss of the digital filter. The research results show that the receiver before filtering can receive video images at multiple frequency points such as 20 MHz, 160 MHz, 220 MHz, 250 MHz, 270 MHz, 290 MHz, and 340 MHz, while the receiver after filtering can only receive video images at two frequency points of 20 MHz and 250 MHz, but it cannot recognize the words in the figure, and its effect is very obvious. It verifies the correctness and effectiveness of the theoretical analysis in this paper.

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Section: Design Of Antileakage Methods Of Digital Videomentioning

confidence: 99%

Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Sun

Jiao

2022

Security and Communication Networks

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“…e IoT awareness layer is at the bottom of the IoT architecture. It consists of various sensors, a control unit, a network communication unit, and a smart door that accesses the sensors, collects data, and links the perception layer with the network layer [13,14]. Compared with the traditional Internet, IoT has its distinctive characteristics: it is a ubiquitous network built on the Internet, and it is a wideranging application of various technological concepts.…”

Section: Technical Frameworkmentioning

confidence: 99%

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

Cao

2022

Scientific Programming

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The pressure relief gas drainage in goaf is the main control method of mine gas. This paper has been designed to study how to analyze and study the gas drainage of goaf pressure relief based on the perception layer of the Internet of Things. The intelligent evaluation of pressure relief gas drainage in goaf is described. This paper has raised the problem of gas extraction, which is based on the Internet of Things, so it has elaborated on the data-level fusion-related algorithms for sensing coal mine safety, and the case design and analysis of the prediction model and intelligent evaluation have been carried out. Aiming at the problem of intelligent grading of gas drainage evaluation in goaf, data preprocessing is performed on the drainage metering data. Using a deep learning evaluation method based on a convolutional neural network (CNN), an intelligent evaluation model is constructed for gas extraction. Compared with the classification model of the shallow neural network, the CNN classification model is more suitable for gas intelligence evaluation and has higher accuracy due to the good learning ability and accuracy of the deep neural network. When the learning rate is 0.1 and the batch is 256, the prediction effect of the CNN pressure relief gas intelligent classification model is the best, which can effectively provide classification results.

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“…Ewellbeing is a developing area at the crossroads of clinical informatics, general well-being, and industry, relating to well-being administrations and knowledge communicated or enhanced through the Internet and related technologies. [10][11][12][13] The word represents a specialized turn of events from a more detailed viewpoint, but also a perspective, a demeanor, and a duty for coordinated, national speculation to enhance patient care through the use of information and communication technologies locally, territorially, and internationally [14].…”

Section: Methodsmentioning

confidence: 99%

Security and Privacy in Cloud-Based E-Health System

Sivan

Zukarnain

2021

Symmetry

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Cloud based healthcare computing have changed the face of healthcare in many ways. The main advantages of cloud computing in healthcare are scalability of the required service and the provision to upscale or downsize the data storge, collaborating Artificial Intelligence (AI) and machine learning. The current paper examined various research studies to explore the utilization of intelligent techniques in health systems and mainly focused into the security and privacy issues in the current technologies. Despite the various benefits related to cloud-computing applications for healthcare, there are different types of management, technology handling, security measures, and legal issues to be considered and addressed. The key focus of this paper is to address the increased demand for cloud computing and its definition, technologies widely used in healthcare, their problems and possibilities, and the way protection mechanisms are organized and prepared when the company chooses to implement the latest evolving service model. In this paper, we focused on a thorough review of current and existing literature on different approaches and mechanisms used in e-Health to deal with security and privacy issues. Some of these approaches have strengths and weaknesses. After selecting original articles, the literature review was carried out, and we identified several models adopted in their solutions. We arrived at the reviewed articles after comparing the models used.

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A Decryptable Attribute-Based Keyword Search Scheme on eHealth Cloud in Internet of Things Platforms

Cited by 18 publications

References 40 publications

Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

Security and Privacy in Cloud-Based E-Health System

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