Data security and authentication in hybrid cloud computing model

AbstractCloud computing is emerging as one of the powerful computing technologies in the field of Information Technology due to its flexibility and cost reduction. This paper provides a detailed survey on security issues of the services provided by cloud computing and solutions to mitigate them. The main objective of this paper is to empower a new researcher to figure out the concepts of cloud computing, the services provided by them, and the security issues in the services. It also provides solutions to avoid or mitigate the different security issues which occur in the services provided by cloud computing. Additionally, it provides insight into the cloud computing model proposed by the National Institute of Standards and Technology (NIST), data stages and data security basics in a multi-tenant environment. This paper explores the different security methods proposed by different researchers and analyzes them.

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A HYBRID ALGORITHM FOR CLOUD DATA SECURITY USING MD5 AND ABE

INTERNATIONAL JOURNAL ONLINE OF SCIENCE ◽

10.24113/ijoscience.v3i3.83 ◽

2016 ◽

Vol 3 (3) ◽

Author(s):

Umesh Joshi ◽

Prof. Anurag Jain

Keyword(s):

Cloud Computing ◽

Data Security ◽

Hybrid Algorithm ◽

Quality Of Services ◽

Cloud Data ◽

Computing Model ◽

Current Scenario ◽

Cloud Network ◽

Hashing Function

The evolution of IT technology Cloud computing shows the strength in past year. It takes controls in all three services Saas, Paas and Iaas. But with gradual increment of technology the quality of services also main issues. Services should be accurate up to date and secure. The level of approval for any computing model is calculated by its strength quality and weakness. The current note is focusing on the security of data in Cloud network, it calculate the current scenario and proposed the Hybrid Secure solution. The paper provides the idea implementation to secure the data in cloud. It provides the hybrid secure solution which combine attribute based cryptography with hashing function MD5. It implements the idea on Cloudsim and provides the improved result in tested environment.

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A Hybrid Cloud Computing Model for Higher Education Institutions in Saudi Arabia

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Cloud Computing ◽

10.1007/978-3-319-38904-2_26 ◽

2016 ◽

pp. 255-259 ◽

Cited By ~ 1

Author(s):

Muhammad Asif Khan

Keyword(s):

Higher Education ◽

Cloud Computing ◽

Saudi Arabia ◽

Higher Education Institutions ◽

Hybrid Cloud ◽

Computing Model

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CLOUD GIS BASED WATERSHED MANAGEMENT

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w6-31-2017 ◽

2017 ◽

Vol XLII-4/W6 ◽

pp. 31-33

Author(s):

G. Bediroğlu ◽

H. E. Colak

Keyword(s):

Cloud Computing ◽

Watershed Management ◽

Gis Analysis ◽

Hybrid Cloud ◽

Soil Maps ◽

Gis Technology ◽

Web Based ◽

Computing Model ◽

Climate Maps ◽

Data As A Service

In this study, we generated a Cloud GIS based watershed management system with using Cloud Computing architecture. Cloud GIS is used as SAAS (Software as a Service) and DAAS (Data as a Service). We applied GIS analysis on cloud in terms of testing SAAS and deployed GIS datasets on cloud in terms of DAAS. We used Hybrid cloud computing model in manner of using ready web based mapping services hosted on cloud (World Topology, Satellite Imageries). We uploaded to system after creating geodatabases including Hydrology (Rivers, Lakes), Soil Maps, Climate Maps, Rain Maps, Geology and Land Use. Watershed of study area has been determined on cloud using ready-hosted topology maps. After uploading all the datasets to systems, we have applied various GIS analysis and queries. Results shown that Cloud GIS technology brings velocity and efficiency for watershed management studies. Besides this, system can be easily implemented for similar land analysis and management studies.

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Banking Theory Based Distributed Resource Management and Scheduling for Hybrid Cloud Computing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.427-429.2928 ◽

2013 ◽

Vol 427-429 ◽

pp. 2928-2935

Author(s):

Feng Yun ◽

Hao Li ◽

Joan Lu

Keyword(s):

Cloud Computing ◽

Resource Management ◽

Commercial Bank ◽

Hybrid Cloud ◽

New Model ◽

Distributed Resource Management ◽

Computing Model ◽

Resource Provider ◽

Model Cloud ◽

The Way

Cloud computing is becoming more and more mature, and an IaaS could computing model called Cloud Bank [, which is based on commercial bank model, has been designed. Could Bank model can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. This new model cloud offers new way to manage resource consumer, bank, and resource provider and maximize all participants benefits. Meanwhile, the new cloud bank model follows the way of commerce bank to against the risk during the transaction. This model may be new solutions for hybrid cloud computing management.

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On the use of the Hybrid Cloud Computing Paradigm

Achieving Federated and Self-Manageable Cloud Infrastructures ◽

10.4018/978-1-4666-1631-8.ch011 ◽

2012 ◽

pp. 196-218

Author(s):

Carlos Martín Sánchez ◽

Daniel Molina ◽

Rafael Moreno Vozmediano ◽

Ruben S. Montero ◽

Ignacio M. Llorente

Keyword(s):

Cloud Computing ◽

Life Experiences ◽

Real Life ◽

Hybrid Cloud ◽

New Model ◽

Cloud Architecture ◽

Computing Model ◽

Computing Paradigm ◽

Production Environments ◽

Multi Cloud

This chapter analyzes the Hybrid Cloud computing model, a paradigm that combines on-premise Private Clouds with the resources of Public Clouds. This new model is not yet fully developed, and there is still a lot of work to be done before true multi-Cloud installations become mature enough to be used in production environments. A review of some of its limitations and the challenges that have to be faced is done in this chapter, and some common techniques to address the challenges studied are also included. It also presents a Hybrid Cloud architecture based on the OpenNebula Cloud toolkit, trying to overcome some of the challenges, and present some real-life experiences with this proposed architecture and Amazon EC2.

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