The Factors Affecting on Managing Sensitive Data in Cloud Computing

Muhasin, Haifaa Jassim; Atan, Rodziah; Jabar, Marzanah A.; Abdullah, Salfarina

doi:10.11591/ijeecs.v11.i3.pp1168-1175

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…where δ is the predicted time sequence number, and + denotes the predicted value at time + , as shown in (7). Then, to predict the + value, the second moving average value can be measured by applying (8):…”

Section: First and Second Moving Average (Fsma) Methodmentioning

confidence: 99%

“…The cloud computing format is mainly described by using three service models: (a) Infrastructure as a Service (IaaS), which explains about the resources offering procedures by cloud providers; (b) Platform as a Service (PaaS), which describes how cloud providers provide an entire cloud environment implemented and deployed in a certain programming language for a specific type of applications; and (c) Software as a Service (SaaS), which refers to applications that can be offered to customers according to their need. The deployed cloud models are mainly classified into four forms: (a) public cloud, which is available for everyone; (b) private cloud, which is hosted solely for one industry; (c) community cloud, which is a cloud environment made accessible only to a certain group of industry or individuals in collaboration; and (d) hybrid cloud, which refers to various clouds that are interconnected with the hosted applications deployed in the cloud environment [8]. In the present work, the term "workload" refers to the number of arrived requests to access the resource of the cloud system.…”

Section: Domain Analysismentioning

confidence: 99%

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Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parameters in the Cloud Environment

Gadhavi

Bhavsar

2018

IJECE

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<p>The purpose of this paper is to provision the on demand resources to the end users as per their need using prediction method in cloud computing environment. The provisioning of virtualized resources to cloud consumers according to their need is a crucial step in the deployment of applications on the cloud. However, the dynamical management of resources for variable workloads remains a challenging problem for cloud providers. This problem can be solved by using a prediction based adaptive resource provisioning mechanism, which can estimate the upcoming resource demands of applications. The present research introduces a prediction based resource provisioning model for the allocation of resources in advance. The proposed approach facilitates the release of unused resources in the pool with quality of service (QoS), which is defined based on prediction model to perform the allocation of resources in advance. In this work, the model is used to determine the future workload prediction for user requests on web servers, and its impact toward achieving efficient resource provisioning in terms of resource exploitation and QoS. The main contribution of this paper is to develop the prediction model for efficient and dynamic resource provisioning to meet the requirements of end users.</p>

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Section: First and Second Moving Average (Fsma) Methodmentioning

confidence: 99%

Section: Domain Analysismentioning

confidence: 99%

Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parameters in the Cloud Environment

Gadhavi

Bhavsar

2018

IJECE

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“…The work in Muhasin et al [25] reviewed the issues of security and privacy affecting critical cloud data and identified solutions to tackle challenges such as user access management, sensitive data protection privacy, user identity anonymity, and data file protection. To explore the fundamental targets of the proposed system, a pilot study utilizing an organized survey was led by specialists working in cloud security.…”

Section: Related Workmentioning

confidence: 99%

Cloud middleware and services-a systematic mapping review

et al. 2021

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Cloud computing currently plays a crucial role in the delivery of vital information technology services. A unique aspect of cloud computing is the cloud middleware and other related entities that support applications and networks. A specific field of research may be considered, particularly as regards cloud middleware and services at all levels, and thus needs analysis and paper surveys to elucidate possible study limitations. The purpose of this paper is to perform a systematic mapping for studies that capture cloud computing middleware, stacks, tools and services. The methodology adopted for this study is a systematic mapping review. The results showed that more papers on the contribution facet were published with tool, model, method and process having 18.10%, 13.79%, 6.03% and 8.62% respectively. In addition, in terms of tool, evaluation and solution research had the largest number of articles with 14.17% and 26.77% respectively. A striking feature of the systemic map is the high number of articles in solution research with respect to all aspects of the features applied in the studies. This study showed clearly that there are gaps in cloud computing middleware and delivery services that would interest researchers and industry professionals desirous of research in this area.

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“…Muhasin, H. et al of [3] focused on factors that effect on the decision of management information systems on sensitive data in public cloud like: Data Confidentiality, Availability, Privacy, Integrity, Authentication, Anonymity, Authorization and Defining the responsibilities. Also conduct Interviews and surveys to explain the impact of these factors on the decision in managing information systems on sensitive data in cloud environments.…”

Section: Introductionmentioning

confidence: 99%

Sensitive Data Exposure: Data Forwarding and Storage on Cloud Environment

et al. 2021

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Sensitive data has become an essential part of life today. With the increase in sensitive data, the importance of maintaining its confidentiality and integrity has increased. One of the solutions became to store this data in the cloud. But the risk of revealing this data still exists. This is because the rate of attack, leakage and loss of this data has become a serious matter. The importance of sensitive data in our current era is considered our oil, as it is very important in several uses in statistical analyzes and other important matters that help the authorities to know the type of people and their interests, and when publishing this information it is important to know what information should be available and What information should not appear or be used on the sites. In this paper, discuss this issue, which is one of the most important security issues that is sensitive data exposure. We touched on this research and the techniques used to reduce these risks to the data stored in the cloud. Mention the types of sensitive data and the types of attacks that may affect these data, and mention the points of weakness, and then the methods of protecting this data.

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The Factors Affecting on Managing Sensitive Data in Cloud Computing

Cited by 4 publications

References 19 publications

Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parameters in the Cloud Environment

Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parameters in the Cloud Environment

Cloud middleware and services-a systematic mapping review

Sensitive Data Exposure: Data Forwarding and Storage on Cloud Environment

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