Enhancing multi‐tenancy security in the cloud computing using hybrid ECC‐based data encryption approach

Kumar, P.R. Rajesh; Bhatt, Ashutosh Kumar

doi:10.1049/iet-com.2020.0255

Cited by 32 publications

(11 citation statements)

References 21 publications

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“…According to Gartner's 2012 survey report, more than 60% of enterprise CTOs believe that the main reason for not adopting cloud computing technology in the short term is that big data faces problems in security and privacy protection. From simple data to trade secrets to intellectual property rights, the disclosure of big data may lead to reputation damage, economic losses, and even legal sanctions [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Sun¹,

Yan²,

Yang³

2022

Journal of Sensors

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Encrypting data based on the data attributes of robots is one of the effective methods to control access users in the data outsourcing environment. Therefore, a mathematical modeling method of robot data attribute encryption based on data redundancy elimination technology is proposed. The encryption algorithm structure is analyzed based on the Bloom filter. The Hamming distance is used to calculate the similarity of big data by the Bloom filter. Finally, a big data ellipse encryption algorithm is designed according to the calculation results. The results show that during the whole experiment, the approximate fluctuation range is 0.08%~0.14%, which is not only high but also has a large fluctuation range. In contrast, the probability of occurrence of redundant data is less than 0.05% under different byte rates of redundant data, which is far lower than the two traditional methods, indicating that the application performance of the proposed method is good.

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Section: Literature Reviewmentioning

confidence: 99%

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Sun¹,

Yan²,

Yang³

2022

Journal of Sensors

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“…erefore, it is necessary to preprocess the media corpus data. In the obtained media corpus data, the characteristics of media corpus data cannot become the key data due to the rapid change of media corpus data [10].…”

Section: Media Corpus Data Preprocessingmentioning

confidence: 99%

Construction and Application of Media Corpus Based on Big Data

Yin

2021

International Journal of Antennas and Propagation

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Aiming at the problems of poor data quality and low application rate in the construction of existing media corpus, this paper proposes the construction and application research of media corpus based on big data. Media corpus data are collected, the data are divided into four categories, the heuristic data item column sorting algorithm is introduced to sort all collection processes, the minimum value of data item collection rate is determined, on this basis, the maximum value of quantity in media corpus is determined, and data collection is realized in media corpus data through sliding window. Then, the state characteristics and probability distribution of feature data are determined by dynamic Bayesian network, the relationship between the state variables and dimensions of media corpus data is determined, and the media corpus data state is processed by component to complete the preprocessing of media corpus data; finally, through the application research of storage and encryption of the designed database through big data technology, the storage structure data and encryption secret key are designed to realize the construction and application of media corpus. The experimental results show that the data quality of the media corpus constructed by the proposed method is high, and its application rate has been improved to a certain extent.

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“…In the multi-tenant mode, it establishes a private virtual account for each tenant to guarantee their data security and personal privacy. In addition, literature [40] proposes a hybrid encryption algorithm by combining encryption algorithm with evolutionary computation. Moth Swarm Algorithm (MSA), is used to find the optimal elliptic curve value and calculate the optimal cipher of the elliptic curve encryption algorithm ECC, aiming to improve the calculation efficiency and security performance of ECC.…”

Section: Different Loadsmentioning

confidence: 99%

Enhancing Security by Using GIFT and ECC Encryption Method in Multi-Tenant Datacenters

Wang¹,

Liu²,

Rao³

et al. 2023

Computers, Materials &Amp; Continua

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Data security and user privacy have become crucial elements in multi-tenant data centers. Various traffic types in the multi-tenant data center in the cloud environment have their characteristics and requirements. In the data center network (DCN), short and long flows are sensitive to low latency and high throughput, respectively. The traditional security processing approaches, however, neglect these characteristics and requirements. This paper proposes a fine-grained security enhancement mechanism (SEM) to solve the problem of heterogeneous traffic and reduce the traffic completion time (FCT) of short flows while ensuring the security of multi-tenant traffic transmission. Specifically, for short flows in DCN, the lightweight GIFT encryption method is utilized. For Intra-DCN long flows and Inter-DCN traffic, the asymmetric elliptic curve encryption algorithm (ECC) is utilized. The NS-3 simulation results demonstrate that SEM dramatically reduces the FCT of short flows by 70% compared to several conventional encryption techniques, effectively enhancing the security and anti-attack of traffic transmission between DCNs in cloud computing environments. Additionally, SEM performs better than other encryption methods under high load and in largescale cloud environments.

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Enhancing multi‐tenancy security in the cloud computing using hybrid ECC‐based data encryption approach

Cited by 32 publications

References 21 publications

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Construction and Application of Media Corpus Based on Big Data

Enhancing Security by Using GIFT and ECC Encryption Method in Multi-Tenant Datacenters

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