Runtime Reusable Weaving Model for Cloud Services Using Aspect-Oriented Programming

2018 ◽  
Vol 15 (1) ◽  
pp. 71-88
Author(s):  
Anas M.R. Alsobeh ◽  
Aws Abed Al Raheem Magableh ◽  
Emad M. AlSukhni
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Cloud Services ◽  
Technical Solution ◽  
Sensitive Data ◽  
Distributed Resources ◽  
Aspect Oriented Programming ◽  
Crosscutting Concerns ◽  
Proposed Model ◽  
The Right

Cloud computing technology has opened an avenue to meet the critical need to securely share distributed resources and web services, and especially those that belong to clients who have sensitive data and applications. However, implementing crosscutting concerns for cloud-based applications is a challenge. This challenge stems from the nature of distributed Web-based technology architecture and infrastructure. One of the key concerns is security logic, which is scattered and tangled across all the cloud service layers. In addition, maintenance and modification of the security aspect is a difficult task. Therefore, cloud services need to be extended by enriching them with features to support adaptation so that these services can become better structured and less complex. Aspect-oriented programming is the right technical solution for this problem as it enables the required separation when implementing security features without the need to change the core code of the server or client in the cloud. Therefore, this article proposes a Runtime Reusable Weaving Model for weaving security-related crosscutting concerns through layers of cloud computing architecture. The proposed model does not require access to the source code of a cloud service and this can make it easier for the client to reuse the needed security-related crosscutting concerns. The proposed model is implemented using aspect orientation techniques to integrate cloud security solutions at the software-as-a-service layer.

Runtime Reusable Weaving Model for Cloud Services Using Aspect-Oriented Programming

2019 ◽  
pp. 574-591
Author(s):  
Anas M.R. Alsobeh ◽  
Aws Abed Al Raheem Magableh ◽  
Emad M. AlSukhni
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Cloud Services ◽  
Technical Solution ◽  
Sensitive Data ◽  
Aspect Oriented Programming ◽  
Web Based ◽  
Crosscutting Concerns ◽  
Proposed Model ◽  
The Right

Cloud computing technology has opened an avenue to meet the critical need to securely share distributed resources and web services, and especially those that belong to clients who have sensitive data and applications. However, implementing crosscutting concerns for cloud-based applications is a challenge. This challenge stems from the nature of distributed Web-based technology architecture and infrastructure. One of the key concerns is security logic, which is scattered and tangled across all the cloud service layers. In addition, maintenance and modification of the security aspect is a difficult task. Therefore, cloud services need to be extended by enriching them with features to support adaptation so that these services can become better structured and less complex. Aspect-oriented programming is the right technical solution for this problem as it enables the required separation when implementing security features without the need to change the core code of the server or client in the cloud. Therefore, this article proposes a Runtime Reusable Weaving Model for weaving security-related crosscutting concerns through layers of cloud computing architecture. The proposed model does not require access to the source code of a cloud service and this can make it easier for the client to reuse the needed security-related crosscutting concerns. The proposed model is implemented using aspect orientation techniques to integrate cloud security solutions at the software-as-a-service layer.

Selection of Cloud Delivery and Deployment Models

2018 ◽  
Vol 10 (4) ◽  
pp. 17-32
Author(s):  
Mustafa I.M. Eid ◽  
Ibrahim M. Al-Jabri ◽  
M. Sadiq Sohail
Keyword(s):  
Cloud Computing ◽  
Expert System ◽  
Service Delivery ◽  
Cloud Service ◽  
Cloud Services ◽  
Organizational Conditions ◽  
Cloud Computing Adoption ◽  
Selection Decision ◽  
The Right ◽  
System Prototype

Research interests on cloud computing adoption and its effectiveness in terms of cost and time has been increasing. However, one of the challenging decisions facing management in adopting cloud services is taking on the right combinations of cloud service delivery and deployment models. A comprehensive review of literature revealed a lack of research addressing this selection decision problem. To fill this research gap, this article proposes an expert system approach for managers to decide on the right combination of service delivery and deployment model selection. The article first proposes a rule-based expert system prototype, which provides advice based on a set of factors that represent the organizational conditions and requirements pertaining to cloud computing adoption. Next, the authors evaluate the system prototype. Lastly, the article concludes with a discussion of the results, its practical implications, limitations, and further research directions.

Selection of Cloud Delivery and Deployment Models

2021 ◽  
pp. 387-403
Author(s):  
Mustafa I.M. Eid ◽  
Ibrahim M. Al-Jabri ◽  
M. Sadiq Sohail
Keyword(s):  
Cloud Computing ◽  
Expert System ◽  
Service Delivery ◽  
Cloud Service ◽  
Cloud Services ◽  
Organizational Conditions ◽  
Cloud Computing Adoption ◽  
Selection Decision ◽  
The Right ◽  
System Prototype

Research interests on cloud computing adoption and its effectiveness in terms of cost and time has been increasing. However, one of the challenging decisions facing management in adopting cloud services is taking on the right combinations of cloud service delivery and deployment models. A comprehensive review of literature revealed a lack of research addressing this selection decision problem. To fill this research gap, this article proposes an expert system approach for managers to decide on the right combination of service delivery and deployment model selection. The article first proposes a rule-based expert system prototype, which provides advice based on a set of factors that represent the organizational conditions and requirements pertaining to cloud computing adoption. Next, the authors evaluate the system prototype. Lastly, the article concludes with a discussion of the results, its practical implications, limitations, and further research directions.

scholarly journals Big Data Analysis using BigQuery on Cloud Computing Platform

2021 ◽  
pp. 1-9
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Efficient Manner ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Cost Efficient ◽  
The Right ◽  
High Level

End the age of digitalization, data generated from numerous online and offline sources in every second. The Data are having a considerable amount of size and several properties termed as Bigdata. It is challenging to store, manage processes, analyze, visualize, and extract useful information from Bigdata using traditional approaches in local machines. To resolve this cloud computing platform is the solution. Cloud computing has high-level processing units, storage, and applications that do not depend on user devices' performance. Many users can access resources and demanded services remotely from the cloud on a pay-as-use basis. That is why users are not needed to buy and install costly resources locally. Some cloud services providers are Google, AWS, IBM, and Microsoft, and they have their Bigdata analyzing robust systems and products in a cost-efficient manner. There are many Cloud Service Providers (CSP's) having different services of Bigdata analyzing filed. However, we discuss in the paper about an excellent service BigQuery in the Data warehouse product of Google to analyze and represent numerous samples of datasets in real-time for making the right decisions within a short time.

A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images

2021 ◽  
Vol 21 (2) ◽  
pp. 1-22
Author(s):  
Abhinav Kumar ◽  
Sanjay Kumar Singh ◽  
K Lakshmanan ◽  
Sonal Saxena ◽  
Sameer Shrivastava
Keyword(s):  
Differential Privacy ◽  
Model Performance ◽  
Healthcare Services ◽  
Cloud Services ◽  
Efficient Computation ◽  
Sensitive Data ◽  
Classification Framework ◽  
Proposed Model ◽  
Diagnostic Framework ◽  
Histopathological Image Classification

The advancements in the Internet of Things (IoT) and cloud services have enabled the availability of smart e-healthcare services in a distant and distributed environment. However, this has also raised major privacy and efficiency concerns that need to be addressed. While sharing clinical data across the cloud that often consists of sensitive patient-related information, privacy is a major challenge. Adequate protection of patients’ privacy helps to increase public trust in medical research. Additionally, DL-based models are complex, and in a cloud-based approach, efficient data processing in such models is complicated. To address these challenges, we propose an efficient and secure cancer diagnostic framework for histopathological image classification by utilizing both differential privacy and secure multi-party computation. For efficient computation, instead of performing the whole operation on the cloud, we decouple the layers into two modules: one for feature extraction using the VGGNet module at the user side and the remaining layers for private prediction over the cloud. The efficacy of the framework is validated on two datasets composed of histopathological images of the canine mammary tumor and human breast cancer. The application of differential privacy preserving to the proposed model makes the model secure and capable of preserving the privacy of sensitive data from any adversary, without significantly compromising the model accuracy. Extensive experiments show that the proposed model efficiently achieves the trade-off between privacy and model performance.

GOVERNMENT REGULATIONS OF THE USING CLOUD SERVICES

2022 ◽  
Author(s):  
Olexander Melnikov ◽  
◽  
Konstantin Petrov ◽  
Igor Kobzev ◽  
Viktor Kosenko ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Government Agencies ◽  
Remote Work ◽  
Cloud Infrastructure ◽  
Wide Range ◽  
Technological Base

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.

scholarly journals АНАЛИЗ ПОДХОДОВ К ОБЕСПЕЧЕНИЮ БЕЗОПАСНОСТИ ОБЛАЧНЫХ СЕРВИСОВ

2020 ◽  
pp. 70-82
Author(s):  
Вячеслав Вікторович Фролов
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Geographical Location ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Critical System ◽  
Cloud Service Providers ◽  
Safety And Reliability ◽  
Cloud Resources

The article is devoted to the analysis of modern approaches that ensure the security of cloud services. Since cloud computing is one of the fastest growing areas among information technology, it is extremely important to ensure the safety and reliability of processes occurring in the clouds and to secure the interaction between the client and the provider of cloud services. Given that fears about data loss and their compromise are one of the main reasons that some companies do not transfer their calculations to the clouds. The object of research and analysis of this work are cloud services, which are provided by various cloud service providers. The aim of the study of this work is to compare existing approaches that provide information security for cloud services, as well as offer a new approach based on the principle of diversity. There are many approaches that ensure their safety, using both traditional and cloud-specific. The multi-cloud approach is one of the most promising strategies for improving reliability by reserving cloud resources on the servers of various cloud service providers. It is shown that it is necessary to use diversity to ensure the reliability and safety of critical system components. The principle of diversity is to use a unique version of each resource thanks to a special combination of a cloud computing provider, the geographical location of data centers, cloud service presentation models, and cloud infrastructure deployment models. The differences between cloud providers and which combination of services are preferable to others in terms of productivity are discussed in detail. In addition, best practices for securing cloud resources are reviewed. As a result, this paper concludes that there is a problem of insufficient security and reliability of cloud computing and how to reduce threats in order to avoid a common cause failure and, as a result, loss of confidential data or system downtime using diversity of cloud services.

scholarly journals A New Secure Model for Data Protection over Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Amr M. Sauber ◽  
Passent M. El-Kafrawy ◽  
Amr F. Shawish ◽  
Mohamed A. Amin ◽  
Ismail M. Hagag
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Protection ◽  
Cloud Services ◽  
Security And Privacy ◽  
Storage Model ◽  
Cloud Data ◽  
Security Issues ◽  
Data Owner ◽  
Proposed Model

The main goal of any data storage model on the cloud is accessing data in an easy way without risking its security. A security consideration is a major aspect in any cloud data storage model to provide safety and efficiency. In this paper, we propose a secure data protection model over the cloud. The proposed model presents a solution to some security issues of cloud such as data protection from any violations and protection from a fake authorized identity user, which adversely affects the security of the cloud. This paper includes multiple issues and challenges with cloud computing that impairs security and privacy of data. It presents the threats and attacks that affect data residing in the cloud. Our proposed model provides the benefits and effectiveness of security in cloud computing such as enhancement of the encryption of data in the cloud. It provides security and scalability of data sharing for users on the cloud computing. Our model achieves the security functions over cloud computing such as identification and authentication, authorization, and encryption. Also, this model protects the system from any fake data owner who enters malicious information that may destroy the main goal of cloud services. We develop the one-time password (OTP) as a logging technique and uploading technique to protect users and data owners from any fake unauthorized access to the cloud. We implement our model using a simulation of the model called Next Generation Secure Cloud Server (NG-Cloud). These results increase the security protection techniques for end user and data owner from fake user and fake data owner in the cloud.

Quantum Key Distribution Approach for Secure Authentication of Cloud Servers

2021 ◽  
Vol 11 (3) ◽  
pp. 19-32
Author(s):  
Shahin Fatima ◽  
Shish Ahmad
Keyword(s):  
Cloud Computing ◽  
Quantum Key Distribution ◽  
Feasible Solution ◽  
Service Providers ◽  
Cloud Service ◽  
Key Distribution ◽  
Distribution Center ◽  
Proposed Model ◽  
Cloud Servers ◽  
Secure Authentication

Cloud computing has become a feasible solution for virtualization of cloud resources. Although it has many prospective to hold individuals by providing many benefits to organizations, still there are security loopholes to outsource data. To ensure the ‘security' of data in cloud computing, quantum key cryptography is introduced. Quantum cryptography makes use of quantum mechanics and qubits. The proposed method made use of quantum key distribution with Kerberos to secure the data on the cloud. The paper discussed the model for quantum key distribution which makes use of Kerberos ticket distribution center for authentication of cloud service providers. The proposed model is compared with quantum key distribution and provides faster computation by producing less error rate.

Service Delivery Models and Deployment Options

2014 ◽  
pp. 49-74
Keyword(s):  
Cloud Computing ◽  
Service Delivery ◽  
Cloud Service ◽  
Platform As A Service ◽  
Service Delivery Models ◽  
Cloud Application ◽  
The Right ◽  
Delivery Models ◽  
Organizational Needs ◽  
Community Cloud

In this chapter, the authors consider cloud computing as a core topic and various models emerging around it such as its services and delivery models, its economic aspects, applications, usages, challenges, and so on. Cloud computing covers a range of delivery and service models. In this chapter, cloud service delivery models (i.e., Software-as-a-Service, Platform-as-a-Service and Infrastructure-as-a-Service) and cloud deployment models (private cloud, community cloud, public cloud, and hybrid cloud) are described. The right service delivery and deployment option have to be chosen for an organization’s cloud application, according to organizational needs.

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