Cloud Based Secure Data Sharing Algorithm for Health Care

Author(s):  
Saravana Kumar N. ◽  
Rajya Lakshmi Gubburi Venkataramana ◽  
Balamurugan B.

Cloud computing is one of most fast developing technology and many organizations are now offering a wide range of cloud services. Although the services provided are the same there is no common programming language, technology and protocol to access the entirety of the cloud services. Client who use a service provided by a certain organization are often limited and confined to that specific organization its structure and technologies. A Cloud federation is one solution to that interoperability through which computing resources of one Cloud Service Provider is rented or sold to another service provider or the services provided by one Cloud Service Provider is replicated into another Cloud Service Provider without having to lose any functionality and performance. This process is a tedious task and is prone to multiple limitations. In this paper we proposed the architectural framework and algorithm for the possible interoperability between the cloud service providers based on SLA in prospective of health sector as the application of cloud in health sector is highly needed in future.

2022 ◽  
pp. 205-224
Author(s):  
Dhiviya Ram

One of the most unique forms of contracting is apparent in cloud computing. Cloud computing, unlike other conventional methods, has adopted a different approach in the formation of binding contract that will be used for the governance of the cloud. This method is namely the clickwrap agreement. Click wrap agreement follows a take it or leave it basis in which the end users are provided with limited to no option in terms of having a say on the contract that binds them during the use of cloud services. The terms found in the contract are often cloud service provider friendly and will be less favourable to the end user. In this article, the authors examine the terms that are often found in the cloud computing agreement as well as study the benefit that is entailed in adopting this contracting method. This chapter has undertaken a qualitative study that comprises interviews of cloud service providers in Malaysia. Hence, this study is a novel approach that also provides insight in terms of the cloud service provider perspective regarding the click wrap agreement.


2020 ◽  
Vol 31 (4) ◽  
pp. 411-424
Author(s):  
Han Lai ◽  
Huchang Liao ◽  
Zhi Wen ◽  
Edmundas Kazimieras Zavadskas ◽  
Abdullah Al-Barakati

With the rapid growth of available online cloud services and providers for customers, the selection of cloud service providers plays a crucial role in on-demand service selection on a subscription basis. Selecting a suitable cloud service provider requires a careful analysis and a reasonable ranking method. In this study, an improved combined compromise solution (CoCoSo) method is proposed to identify the ranking of cloud service providers. Based on the original CoCoSo method, we analyze the defects of the final aggregation operator in the original CoCoSo method which ignores the equal importance of the three subordinate compromise scores, and employ the operator of “Linear Sum Normalization” to normalize the three subordinate compromise scores so as to make the results reasonable. In addition, we introduce a maximum variance optimization model which can increase the discrimination degree of evaluation results and avoid inconsistent ordering. A numerical example of the trust evaluation of cloud service providers is given to demonstrate the applicability of the proposed method. Furthermore, we perform sensitivity analysis and comparative analysis to justify the accuracy of the decision outcomes derived by the proposed method. Besides, the results of discrimination test also indicate that the proposed method is more effective than the original CoCoSo method in identifying the subtle differences among alternatives.


Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.


Author(s):  
Olexander Melnikov ◽  
◽  
Konstantin Petrov ◽  
Igor Kobzev ◽  
Viktor Kosenko ◽  
...  

The article considers the development and implementation of cloud services in the work of government agencies. The classification of the choice of cloud service providers is offered, which can serve as a basis for decision making. The basics of cloud computing technology are analyzed. The COVID-19 pandemic has identified the benefits of cloud services in remote work Government agencies at all levels need to move to cloud infrastructure. Analyze the prospects of cloud computing in Ukraine as the basis of e-governance in development. This is necessary for the rapid provision of quality services, flexible, large-scale and economical technological base. The transfer of electronic information interaction in the cloud makes it possible to attract a wide range of users with relatively low material costs. Automation of processes and their transfer to the cloud environment make it possible to speed up the process of providing services, as well as provide citizens with minimal time to obtain certain information. The article also lists the risks that exist in the transition to cloud services and the shortcomings that may arise in the process of using them.


2021 ◽  
Vol 17 (4) ◽  
pp. 75-88
Author(s):  
Padmaja Kadiri ◽  
Seshadri Ravala

Security threats are unforeseen attacks to the services provided by the cloud service provider. Depending on the type of attack, the cloud service and its associated features will be unavailable. The mitigation time is an integral part of attack recovery. This research paper explores the different parameters that will aid in predicting the mitigation time after an attack on cloud services. Further, the paper presents machine learning models that can predict the mitigation time. The paper presents the kernel-based machine learning models that can predict the average mitigation time during security attacks. The analysis of the results shows that the kernel-based models show 87% accuracy in predicting the mitigation time. Furthermore, the paper explores the performance of the kernel-based machine learning models based on the regression-based predictive models. The regression model is used as a benchmark model to analyze the performance of the machine learning-based predictive models in the prediction of mitigation time in the wake of an attack.


Author(s):  
Alexander Herzfeldt ◽  
Sebastian Floerecke ◽  
Christoph Ertl ◽  
Helmut Krcmar

With the increasing maturity of cloud technologies and the growing demand from customers, the cloud computing ecosystem has been expanding continuously with both incumbents and new entrants, whereby it has become more distributed and less transparent. For cloud service providers previously focusing on growth strategies, it is now necessary to shift the attention to providing service efficiently, as well as profitably. Based on 14 explorative interviews with cloud service experts, the relationship between cloud service provider profitability and value facilitation, which stands for the capability to build up resources in advance of future customer engagements, is investigated. The results indicate a positive relationship between cloud service profitability and value facilitation and deliver valuable insights for both researchers and practitioners. In particular, guidelines on how to design profitable cloud service offerings are discussed.


Author(s):  
Alexander Herzfeldt ◽  
Sebastian Floerecke ◽  
Christoph Ertl ◽  
Helmut Krcmar

With the increasing maturity of cloud technologies and the growing demand from customers, the cloud computing ecosystem has been expanding continuously with both incumbents and new entrants, whereby it has become more distributed and less transparent. For cloud service providers previously focusing on growth strategies, it is now necessary to shift the attention to providing service efficiently, as well as profitably. Based on 14 explorative interviews with cloud service experts, the relationship between cloud service provider profitability and value facilitation, which stands for the capability to build up resources in advance of future customer engagements, is investigated. The results indicate a positive relationship between cloud service profitability and value facilitation and deliver valuable insights for both researchers and practitioners. In particular, guidelines on how to design profitable cloud service offerings are discussed.


2013 ◽  
Vol 427-429 ◽  
pp. 2377-2382
Author(s):  
Ying Liu ◽  
Yan Wang ◽  
Xian You Sun

Among the wide range of cloud service providers with different performance characteristics, in order to let the cloud users find cloud services which satisfy its performance preferences and specific trust levels,it needs to establish a reasonable and scientific cloud service trust evaluation system. This paper introduces a membership degree theory into trust evaluation model. First, it designs the trust evaluation system framework of cloud services, and establishes a trust evaluation model of cloud services. Next, it calculates the trust level of cloud services with the comprehensive trust cloud center of gravity evaluation method (CCGE). Finally, the experiment results show that this model can build precise trust relationship between cloud users and cloud services based on users performance demands.


Author(s):  
Amit Kr Mandal ◽  
Suvamoy Changder ◽  
Anirban Sarkar ◽  
Narayan C. Debnath

Software as a service (SaaS) is a new software development and deployment paradigm over the cloud. It offers Information Technology services dynamically as “on-demand” basis. The related application data are stored in the data centers managed by the Cloud Service Providers. Many enterprises are facing a major research challenge due to the unavailability of generic cloud architecture for designing, developing and deploying of cloud services. In this paper a flexible architecture for SaaS has been proposed, specifically for data centric cloud applications which may have access to heterogeneous types of databases. The architecture is composed of several layers, which are interacting with each other through the dynamically selected access points of the corresponding layers interfaces. The paper also enlisted the crucial features for SaaS architectural model. Moreover, a detailed comparative study has been done among the proposed SaaS architectural framework and other existing similar proposals based on the listed features.


2019 ◽  
Vol 8 (3) ◽  
pp. 6217-6225

Now-a-days the cloud is very useful for providing many IT services. These services are delivered over the internet and accessed globally with the help of internet. The cloud service provider ensures flexibility in provisioning and scaling of resources. The cloud services are completely managed by cloud service provider (CSP), which ensures the end to end availability, reliability and security of the cloud resources. The exponential growth of cloud services has provided many opportunities but has also perplexed severe security concerns. The popularity of cloud service based applications is rapidly increasing due to which many security and legal issues are arising. In this paper we describe the existing access control method and framework for securing cloud services. The concept of modified reputation and attribute based access control system has been discussed. In this approach the concept of crowd reviewing has been used to compute the credit value of users. The simulation experiment has been shown to protect the consistent users and to restrict the access of inconsistent users in cloud environment. It is an access control approach to mitigate the challenges in security concerns. This access control mechanism is helpful for cloud application services, which automatically restrict the malicious users from the access of resources. It is also helpful in authorization of users to access the cloud resources.


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