Optimization of security issues in adoption of cloud ecosystem

Soni, Dheresh; Sharma, Vibhor; Srivastava, Deepak

doi:10.1109/iot-siu.2019.8777670

Cited by 12 publications

(3 citation statements)

References 2 publications

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“…Automation of Software Upgrade -Cloud infrastructure can deliver automated updates to all systems and software programmers operating on its network on a timely basis. Applications of Cloud Computing -Every program on a cloud service has the same functionality and can be run on a cloud service (D. Soni et. al.…”

Section: Simple Data and Programmentioning

confidence: 99%

A Secure Framework to Prevent Three-Tier Cloud Architecture From Malicious Malware Injection Attacks

Rao

Sharma

Rathore

et al. 2023

International Journal of Cloud Applications and Computing

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The concept of cloud computing makes it possible to have a shared pool of reconfigurable computing resources that can be deployed and released with little involvement from administration work or service providers. Cloud computing makes this possible. The communication among the nodes is possible with the help of internet. All users are able to use the services of cloud. The small-scale industries are really happy to use the cloud services. The attackers are degrading the performance of services, and also the users are not receiving the response. This paper presents the imprint of cloud computing. Flooding attacks or the DoS attack is one attack that reserves the communication resources in network, and the rest of the attacks, like Sybil attack, misguide the users, and also it is not easy to identify the exact identification of the sender. The security schemes are able to remove attacker infection, and on the basis of that, it is possible to design better schemes against attackers in the cloud.

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Section: Simple Data and Programmentioning

confidence: 99%

A Secure Framework to Prevent Three-Tier Cloud Architecture From Malicious Malware Injection Attacks

Rao

Sharma

Rathore

et al. 2023

International Journal of Cloud Applications and Computing

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“…In this article, an efficient secure cloud computing framework has been developed. is framework consists of data grouping based on FCM [36,37]. It has been used for the individual and associative rankings of uploaded text data on the cloud.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Client Cloud Environment to Secure Data Communication with Alert Protocol

Soni

Srivastava

Bhatt³

et al. 2022

Mathematical Problems in Engineering

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Cloud computing is a technology that provides resources and utility services based on user demand. Due to this demand, efficient cloud security protocols are highly required, especially at the time of data communication for user authentication and data aggregation. The data communication scenarios are majorly affected by the security threats in the cloud computing environment. This article provides a practical approach to developing an efficient and empirical cloud framework in terms of cloud protocol. The framework uses fuzzy c-means (FCM) algorithm to group data, and calculation is done individually or associatively to rank the text data. Uploaded data are passed to a simple additive weighting (SAW) algorithm for ranking and making decision selection. The framework executes in three phases, namely data preprocessing, clustering, and automatic data security with an alert mechanism. The process is completely automated so there is no need of considering the individual files for the processing and the data held will be appropriately correlated with the sharing inter-cloud environment. To inspect security issues, the proposed framework is secured by three different security algorithms. The encryption process is completed by Rivest Cipher 6 (RC6); the substitution process is done by Advanced Encryption Standard (AES); and key generation is done by RC6, AES, and Rivest-Shamir-Adleman (RSA) approaches collectively. Based on the given situations, these standard approaches were automatically applied separately or collectively. Unauthorized access trapping and data deletion mechanism are also provided in the proposed framework. The experimental results with a comparative study depicted the effectiveness of the proposed work.

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“…They have shown the results based on the experiments. In 2019, Soni et al [17] discussed about the cloud ecosystem. They have discussed and explored the cloud service providers, cloud vendors and cloud tenants with a framework.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Fuzzy C-Means Method with Variable FV-TC for Data Sensitivity Calculation in a Cloud Computing Environment

Dubey

2019

IJEAT

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In this paper an efficient fuzzy c-means (FCM) method has been used for the data sensitivity estimation. For the saturation point estimation variable fuzziness value (FV)-termination criteria (TC) have been used in the cloud computing environment. Data preprocessing has been performed along with the five attributes. Three attributes are based on the cloud user input parameters and the remaining two are the automated attributes which are calculated automatically. Then FCM has been applied. The total clusters calculated by our method are three. Then weighted product model has been applied for the cluster sensitivity calculation based on the three clusters. Our mechanism has the capability to identify the need of high, medium and low-level securities.

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Optimization of security issues in adoption of cloud ecosystem

Cited by 12 publications

References 2 publications

A Secure Framework to Prevent Three-Tier Cloud Architecture From Malicious Malware Injection Attacks

A Secure Framework to Prevent Three-Tier Cloud Architecture From Malicious Malware Injection Attacks

An Empirical Client Cloud Environment to Secure Data Communication with Alert Protocol

An Efficient Fuzzy C-Means Method with Variable FV-TC for Data Sensitivity Calculation in a Cloud Computing Environment

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