Isogeny-Based Cryptographic Access Control

Aleksandrova, Elena B.; Shtyrkina, Anna A.; Yarmak, A. V.

doi:10.3103/s0146411620080027

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Then, the load balancing strategy based on ant colony algorithm is applied to filter the channels, and the channel sequences without interference and with low load are recorded in the priority choice lists (PCL). Then, the maximum discretization algorithm is applied to select the channel from the PCL for channel discretization [9]. After the maximum discretization of the channel is completed, the channel sequence is assigned to the node pair with communication request to realize the communication capacity control of computer wireless network [10].…”

Section: Communication Capacity Control Technology Of Computer Wireless Networkmentioning

confidence: 99%

A Wireless Network Communication Capacity Control Technology Based on Fuzzy Wavelet Neural Network

Zheng¹,

Yun²

2021

Wireless Communications and Mobile Computing

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The communication capacity control of the computer wireless network is the basis for realizing the efficient communication of massive data. In order to study the communication capacity control technology of the computer wireless network, improve the control effect of a large amount of data communication, and calculate the capacity of the wireless network in real time, this paper uses the fuzzy wavelet neural network to predict the wireless network channel. After the interference-free channel is obtained, the load balancing strategy of the ant colony optimization algorithm is used to filter the channel, and the channel allocation sequence with the most balanced load distribution is obtained, and a priority selection list is generated. After discretizing the channels in the largest discretization selection list, the channel sequence is allocated to the pair of nodes with communication requests according to the greedy coloring algorithm, so as to realize the communication capacity control of the computer wireless network. The test results show that the technology can guarantee good communication performance in both static and dynamic networks and can effectively complete network communication of massive data, and the communication capacity control effect is good.

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Section: Communication Capacity Control Technology Of Computer Wireless Networkmentioning

confidence: 99%

A Wireless Network Communication Capacity Control Technology Based on Fuzzy Wavelet Neural Network

Zheng¹,

Yun²

2021

Wireless Communications and Mobile Computing

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“…Environmental pollution caused by heavy metals is often referred to as heavy metal pollution. Other heavy metal elements such as Cd, Pb, and Cr are toxic to organisms even at very low concentrations, and Cd elements are the most biotoxic metals [11].…”

Section: Analysis Of Environmental Pollution Due To Heavy Metals In Gardenmentioning

confidence: 99%

Study on the Predictive Algorithm of Plant Restoration under Heavy Metals

Yang

2021

Scientific Programming

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Heavy metal pollution of soil is becoming a more serious issue globally. Heavy metal contamination of the soil environment is inevitable as a result of the rapid and extensive growth of industry and agriculture, resulting in unfavorable environmental circumstances for both the flora and fauna. Traditional approaches for collecting field sampling with laboratory testing of soil heavy metals are restricted not only by their time and cost but also by their inability to gather sufficient information about the spatial distribution characteristics of heavy metals in soil over a vast area. The continuous development of the urban industrial processes leads to the degree of heavy metal pollution in urban gardens. For soil monitoring and cleanup, having quick and accurate access to heavy metal concentration data is very crucial and critical. In order to improve the restoration ability of garden heavy metal pollution, a new algorithm to predict plant restoration ability under the garden heavy metal pollution environment is put forward in this study. Firstly, we analyzed the composition of garden heavy metal pollution and the harm of garden heavy metal pollution. Secondly, we identified the restoration technology of garden heavy metal pollution to plants, determine the level of garden heavy metal pollution with the help of the land accumulation index method, and reflect the average pollution water level of garden heavy metal elements with the help of Numero comprehensive pollution heatstroke. On this basis, the plant repairability prediction model was constructed with the help of wavelet function, to predict the plant repairability under garden heavy metal pollution environment and to complete the prediction of plant repairability under garden heavy metal pollution environment. The experimental results show that the proposed method was better than the traditional approaches in terms of prediction accuracy and is also less time-consuming.

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Cloud computing data security access control model using improved CP-ABE algorithm

Tang¹

2022

International Conference on Network Communication and Information Security (ICNCIS 2022)

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The current cloud computing data security access control model reduces the risk of data being maliciously modified, but it can't change the local attributes, and lacks some flexibility in the dynamic update of permissions. An improved CP-ABE algorithm is applied to design a cloud computing data security access control model. Between the cloud computing server and data users, a collaborative private key management mode is established based on the single attribute authority architecture. Each user has the attribute set and the corresponding private key. The CP-ABE algorithm cannot revoke the authority of a single user. A revocation scheme is added to the CP-ABE algorithm. The data belongs to the master, changes the hidden cloud key and authorized user attributes, and updates the private key with new random parameters. The improved CP-ABE algorithm is applied to establish the access control model. After the user accesses, the public key is obtained, and the input public and private keys are converted by the conversion algorithm. The test results show that the design model can reduce the time of key encryption and decryption when increasing the number of user attributes, complete data security access with less energy consumption, and is conducive to the expansion of access attributes.

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Isogeny-Based Cryptographic Access Control

Cited by 3 publications

References 26 publications

A Wireless Network Communication Capacity Control Technology Based on Fuzzy Wavelet Neural Network

A Wireless Network Communication Capacity Control Technology Based on Fuzzy Wavelet Neural Network

Study on the Predictive Algorithm of Plant Restoration under Heavy Metals

Cloud computing data security access control model using improved CP-ABE algorithm

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