Information Flow Security Models for Cloud Computing

Lv, Congdong; Zhang, Ji; Sun, Zhanquan; Qian, Gang

doi:10.32604/cmc.2020.011232

Cited by 5 publications

(2 citation statements)

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“…Table 13 in the following subsection provides a brief note on the different works published recently to avoid the network attacks 104 . This gives a basic overview of what technologies and frameworks they have used in their work.…”

Section: Security and Challenges In Iot And Iiot Systemsmentioning

confidence: 99%

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

Atharvan

Krishnamoorthy

Dua

et al. 2021

Int J Communication

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Summary The evolution of Internet of Things (IoT) has led to the development of Industrial Internet of Things (IIoT). IIoT is one the widely applied areas to facilitate people in the manufacturing world. The adoption of IIoT automates sensing, capturing, communicating, and processing in real time. To understand how rapidly IoT and IIoT are growing, this article examines the emergence of 5G‐enabled IIoT, current research trends in IIoT, key milestones achieved in IIoT, and IoT applications specific to 5G‐enabled IIoT. The paper presents the state‐of‐the‐art in networking layered framework of IIoT and comparing relationships of technologies of cloud computing as well as edge computing paradigms. We also explored the type of security attacks and their preventive measures in an IIoT‐driven 5G technology. We have also highlighted the revolution of IIoT‐driven 5G framework which satisfies the demands of IIoT applications.

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Section: Security and Challenges In Iot And Iiot Systemsmentioning

confidence: 99%

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

Atharvan

Krishnamoorthy

Dua

et al. 2021

Int J Communication

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“…Vulnerability is the cause and premise of network security risks. According to the feature system of network security data element, if the security and stability of the transmission environment cannot be guaranteed in the process of data transmission, the vulnerability of the network will lead to a direct impact on the integrity and authenticity of the data [3,4]. One of the methods to analyze network vulnerability is to analyze and measure the network information security vulnerability, and determine the information security vulnerability and the severity of the vulnerability [5,6].…”

Section: Introductionmentioning

confidence: 99%

A quantitative assessment method of network information security vulnerability detection risk based on the meta feature system of network security data

2021

KSII TIIS

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Because the traditional network information security vulnerability risk assessment method does not set the weight, it is easy for security personnel to fail to evaluate the value of information security vulnerability risk according to the calculation value of network centrality, resulting in poor evaluation effect. Therefore, based on the network security data element feature system, this study designed a quantitative assessment method of network information security vulnerability detection risk under single transmission state. In the case of single transmission state, the multi-dimensional analysis of network information security vulnerability is carried out by using the analysis model. On this basis, the weight is set, and the intrinsic attribute value of information security vulnerability is quantified by using the qualitative method. In order to comprehensively evaluate information security vulnerability, the efficacy coefficient method is used to transform information security vulnerability associated risk, and the information security vulnerability risk value is obtained, so as to realize the quantitative evaluation of network information security vulnerability detection under single transmission state. The calculated values of network centrality of the traditional method and the proposed method are tested respectively, and the evaluation of the two methods is Lin et al.: A quantitative assessment method of network information security vulnerability detection risk based on the meta feature system of network security data evaluated according to the calculated results. The experimental results show that the proposed method can be used to calculate the network centrality value in the complex information security vulnerability space network, and the output evaluation result has a high signal-tonoise ratio, and the evaluation effect is obviously better than the traditional method.

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A Wavelet-Based Robust Medical Image Watermarking Technique Using Whale Optimization Algorithm for Data Exchange Through Internet of Medical Things

Rezaee

Anari

Khosravi

2022

Intelligent Healthcare

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Information Flow Security Models for Cloud Computing

Cited by 5 publications

References 0 publications

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

A quantitative assessment method of network information security vulnerability detection risk based on the meta feature system of network security data

A Wavelet-Based Robust Medical Image Watermarking Technique Using Whale Optimization Algorithm for Data Exchange Through Internet of Medical Things

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