Cloud Computing: Security Issues

Mathkunti, Nivedita M.

doi:10.7763/ijcce.2014.v3.332

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Distributed computing offers public and private data to the client on a single platform across the Internet [4]. However, CC has several security challenges that delay the rapid adoption of the computing model, such as vulnerability for client and associations [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Review of Machine Learning Algorithms for Cloud Computing Security

et al. 2020

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Cloud computing (CC) is on-demand accessibility of network resources, especially datastorage and processing power, without special and direct management by the users. CC recentlyhas emerged as a set of public and private datacenters that offers the client a single platform acrossthe Internet. Edge computing is an evolving computing paradigm that brings computation andinformation storage nearer to the end-users to improve response times and spare transmissioncapacity. Mobile CC (MCC) uses distributed computing to convey applications to cell phones.However, CC and edge computing have security challenges, including vulnerability for clients andassociation acknowledgment, that delay the rapid adoption of computing models. Machine learning(ML) is the investigation of computer algorithms that improve naturally through experience. In thisreview paper, we present an analysis of CC security threats, issues, and solutions that utilizedone or several ML algorithms. We review different ML algorithms that are used to overcomethe cloud security issues including supervised, unsupervised, semi-supervised, and reinforcementlearning. Then, we compare the performance of each technique based on their features, advantages,and disadvantages. Moreover, we enlist future research directions to secure CC models.

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Section: Introductionmentioning

confidence: 99%

A Review of Machine Learning Algorithms for Cloud Computing Security

et al. 2020

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“…This make the cloud services provided suffers from a few of vulnerabilities such as it is easily to be attack from attackers who would like to obtain a free computing service, information theft from cloud users and penetration of the infrastructure through cloud connection. There are some considered reasons such as the company will be lost the control on the data since they host their assets by using outsourcing security management in a third party [5]. Another reason is lacking security guarantees in the Service Level Agreements (SLAs) between the consumers and the providers [6].…”

Section: Introductionmentioning

confidence: 99%

A Review on Cloud Computing Security

Teo

Mahdin

Hwee

et al. 2018

JOIV : Int. J. Inform. Visualization

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Cloud computing is a technology that maintain the data and application by using the central remote server with the internet connection. By utilizing cloud computing, user can reduce their costs as they no need to purchase their own hardware and software. However cloud computing still has many issues concerning securities, such as privacy issues, loss of data and stolen of data. Some security issues over cloud services including confidentiality, integrity, availability, privacy and attacks are concerned by the users. This paper reviews some of the issues and its current solutions.

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Critical Decision-Making on Cloud Computing Adoption in Organizations Based on Augmented Force Field Analysis

Youssef

Mostafa

2019

IEEE Access

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Cloud Computing (CC) has become an important milestone information technology that attracts many organizations. With the potential to transform business processes, lower IT expenses, and offer access to unlimited computing resources with minimal management effort, organizations look to cloudbased solutions to achieve business efficiencies. Thus, it would seem that these organizations could easily migrate to CC. However, enterprises are still concerned about moving their business-critical applications to the cloud. Among the reasons are that it is an emerging technology that has not reached a level of maturity; the lack of industry-specific conformity to standards; and a high level of security risks. As a result, there is a big dispute among organizations on the decision of whether it is more business-efficient to embark on the cloud or remain with their interior IT infrastructures. In this paper, we aim to solve this debate by proposing a novel approach that supports decision-making on CC adoption in organizations. Unlike traditional decisionmaking approaches that pay little or no consideration to organizational high-level business objectives, our proposed approach is driven by the business objectives of the organization. First, we identify driving and restraining forces that influence CC adoption in organizations. Second, a formal decision-making model is proposed based on Force Field Analysis (FFA) augmented by pairwise comparison and Delphi methods, this model estimates the values of the driving and restraining forces based on their impacts on the organization's objectives. By analyzing the forces for and against CC adoption, organizations can decide whether or not to move forward with the adoption. Alternatively, organizations can use the analysis to think about how they can strengthen the forces that support the adoption and weaken the forces opposing it, so that the adoption is more successful. The proposed model is validated for usability and applicability through a use case scenario. INDEX TERMS Cloud computing, decision making, force field analysis (FFA), pairwise comparison, Delphi method.

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Cloud Computing: Security Issues

Cited by 5 publications

References 8 publications

A Review of Machine Learning Algorithms for Cloud Computing Security

A Review of Machine Learning Algorithms for Cloud Computing Security

A Review on Cloud Computing Security

Critical Decision-Making on Cloud Computing Adoption in Organizations Based on Augmented Force Field Analysis

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