On Protecting Data Storage in Mobile Cloud Computing Paradigm

2014 ◽  
Vol 31 (1) ◽  
pp. 82-91 ◽  
Author(s):  
Al-kindy Athman Abdalla ◽  
Al-Sakib Khan Pathan
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Computing Paradigm

A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability

2016 ◽  
Vol 7 (1) ◽  
pp. 41-58 ◽  
Author(s):  
Khadija Akherfi ◽  
Hamid Harroud ◽  
Michael Gerndt
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Cloud Computing ◽  
Relevant Information ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Computing Power ◽  
Cloud Interoperability

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

Mobile Cloud Computing

2015 ◽  
pp. 1-23
Author(s):  
Jyoti Grover ◽  
Gaurav Kheterpal
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Applications ◽  
Large Scale ◽  
Mobile Cloud Computing ◽  
Research Area ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Mobile Environment

Mobile Cloud Computing (MCC) has become an important research area due to rapid growth of mobile applications and emergence of cloud computing. MCC refers to integration of cloud computing into a mobile environment. Cloud providers (e.g. Google, Amazon, and Salesforce) support mobile users by providing the required infrastructure (e.g. servers, networks, and storage), platforms, and software. Mobile devices are rapidly becoming a fundamental part of human lives and these enable users to access various mobile applications through remote servers using wireless networks. Traditional mobile device-based computing, data storage, and large-scale information processing is transferred to “cloud,” and therefore, requirement of mobile devices with high computing capability and resources are reduced. This chapter provides a survey of MCC including its definition, architecture, and applications. The authors discuss the issues in MCC, existing solutions, and approaches. They also touch upon the computation offloading mechanism for MCC.

scholarly journals Research on Security Architecture in Mobile Cloud Computing to Prevent Adaptive Anomaly Attacks

2019 ◽  
Vol 8 (6S4) ◽  
pp. 942-947
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Privacy ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Accessibility ◽  
Security Issues ◽  
Wide Range ◽  
Rapid Pace

Cloud Computing is a very viable data storage structure where the users can store and access the data from anywhere. Cloud computing use is increasing at a very rapid pace nowadays. But as cloud allows us data accessibility quite easily data security is a major concern and is an emerging area of study. Other issues related to cloud computing are data privacy and internet dependency. On the other cloud computing also has wide range of benefits over traditional storage and accessibility environment such as scalability, flexibility and resource utilization. We have worked in the area of mobile cloud computing to analyse and solve the problems of anomaly attacks. Our work focuses on preventing the adaptive anomaly attacks and some other security issues of cloud computing

Secure Mobile Multi Cloud Architecture for Authentication and Data Storage

2019 ◽  
pp. 1108-1123
Author(s):  
Karim Zkik ◽  
Ghizlane Orhanou ◽  
Said El Hajji
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Mobile Networks ◽  
Mobile Cloud Computing ◽  
Homomorphic Encryption ◽  
Personal Data ◽  
Mobile Technologies ◽  
Mobile Users ◽  
Mobile Cloud ◽  
Multi Cloud

The use of Cloud Computing in the mobile networks offer more advantages and possibilities to the mobile users such as storing, downloading and making calculation on data on demand and its offer more resources to these users such as the storage resources and calculation power. So, Mobile Cloud Computing allows users to fully utilize mobile technologies to store, to download, share and retrieve their personal data anywhere and anytime. As many recent researches show, the main problem of fully expansion and use of mobile cloud computing is security, and it's because the increasing flows and data circulation through internet that many security problems emerged and sparked the interest of the attackers. To face all this security problems, we propose in this paper an authentication and confidentiality scheme based on homomorphic encryption, and also a recovery mechanism to secure access for mobile users to the remote multi cloud servers. We also provide an implementation of our framework to demonstrate its robustness and efficiently, and a security analysis.

A Study on Software Development Architectures for Mobile Cloud Computing (MCC) for Green IT

2016 ◽  
pp. 21-33
Author(s):  
D. Jeya Mala
Keyword(s):  
Cloud Computing ◽  
Software Development ◽  
Data Storage ◽  
Service Discovery ◽  
Mobile Cloud Computing ◽  
Profile Analysis ◽  
Parallel Execution ◽  
Mobile Cloud ◽  
Green It ◽  
Bee Colony

Mobile Cloud Computing (MCC) at its simplest form refers to an infrastructure where both the data storage and the data processing happen outside of the mobile device. In this chapter, a study on existing software architectures for MCC is outlined with their way of working. Also, a Nature inspired Artificial Bee Colony (ABC) based architecture has been proposed to provide reliable services from the cloud to the mobile requests. The proposed approach will definitely pave a way for timely services by using three different agents working in parallel, which mimics the behavior of honey bees namely Employed Bees, Onlooker Bees and Scout Bees. As the service discovery from the UDDI, Mobile profile Analysis and Allocation of Cloud resources for the requests are done by these software agents in a parallel execution, it achieves a green IT solution for MCC based software Development.

scholarly journals Multilayer Architecture Model for Mobile Cloud Computing Paradigm

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Higinio Mora ◽  
Francisco J. Mora Gimeno ◽  
María Teresa Signes-Pont ◽  
Bruno Volckaert
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Comprehensive Model ◽  
Architecture Model ◽  
Network Layers ◽  
Computing Paradigm ◽  
Multilayer Architecture ◽  
Computing Platforms ◽  
Cloud Servers

Mobile Cloud Computing is one of today's more disruptive paradigms of computation due to its effects on the performance of mobile computing and the development of Internet of Things. It is able to enhance the capabilities of devices by outsourcing the workload to external computing platforms deployed along the network, such as cloud servers, cloudlets, or other edge platforms. The research described in this work presents a computational model of a multilayer architecture for increasing the performance of devices using the Mobile Cloud Computing paradigm. The main novelty of this work lies in defining a comprehensive model where all the available computing platforms along the network layers are involved to perform the outsourcing of the application workload. This proposal provides a generalization of the Mobile Cloud Computing paradigm which allows handling the complexity of scheduling tasks in such complex scenarios. The behaviour of the model and its ability of generalization of the paradigm are exemplified through simulations. The results show higher flexibility for making offloading decisions.

scholarly journals Robust Security with Strong Authentication in Mobile Cloud Computing based on Trefoil Congruity framework

2021 ◽  
Vol 33 (6) ◽  
pp. 0-0
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Mobile Cloud Computing ◽  
Data Transfer ◽  
Mobile Cloud ◽  
Distributed Data ◽  
Large Scale Data ◽  
Backup And Recovery ◽  
Secured Data

In the mobile cloud computing era, the sharing of secured large-scale data which have major challenges. From an existing quantum based security mechanism randomly chosen the photon detector which creates small length of qubits so it cannot provide much security in MCC also data storage in the cloud server doesn’t guarantees the lossless back up and data recovery as well attains more computation complex during secure access of stored data. Therefore to solve those issues a unique combination of the Trefoil Congruity framework is proposed which consist Quantum Key Fibo Privacy Approach (QKFPA) performing the quantum key generation for encrypt and decrypt the data with the aid of Fibonacci chain-slanting matrix. Based on that quantum key data is uploaded, then secured data should be stored, ultra-widely distributed data transfer mechanism does the scrambling with sorting the stored data by implementing novel HS-DRT technique that improves the lossless backup and recovery of data storage.

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