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

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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Mobile Cloud Computing

Resource Management of Mobile Cloud Computing Networks and Environments - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-4666-8225-2.ch001 ◽

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.

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Power Optimization of Large Scale Mobile Cloud Computing Systems

2015 3rd International Conference on Future Internet of Things and Cloud ◽

10.1109/ficloud.2015.126 ◽

2015 ◽

Cited By ~ 19

Author(s):

Mahmoud Al-Ayyoub ◽

Yaser Jararweh ◽

LoAi Tawalbeh ◽

Elhadj Benkhelifa ◽

Anas Basalamah

Keyword(s):

Cloud Computing ◽

Large Scale ◽

Mobile Cloud Computing ◽

Power Optimization ◽

Mobile Cloud ◽

Computing Systems

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A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability

International Journal of Adaptive Resilient and Autonomic Systems ◽

10.4018/ijaras.2016010103 ◽

2016 ◽

Vol 7 (1) ◽

pp. 41-58 ◽

Cited By ~ 1

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.

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Towards Distributed Data Management in Fog Computing

Wireless Communications and Mobile Computing ◽

10.1155/2018/7597686 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 25

Author(s):

Vasileios Moysiadis ◽

Panagiotis Sarigiannidis ◽

Ioannis Moscholios

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Large Scale ◽

Fog Computing ◽

Cloud Services ◽

Smart Devices ◽

Distributed Data ◽

Storage Allocation ◽

Huge Amount ◽

Distributed Data Storage

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

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

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.f1192.0486s419 ◽

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

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Secure Mobile Multi Cloud Architecture for Authentication and Data Storage

Cloud Security ◽

10.4018/978-1-5225-8176-5.ch057 ◽

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.

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

Modern Software Engineering Methodologies for Mobile and Cloud Environments - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-4666-9916-8.ch002 ◽

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.

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