Data security in mobile cloud computing paradigm: a survey, taxonomy and open research issues

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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Data security issues in the realm of mobile cloud computing: A survey

10.7287/peerj.preprints.27050 ◽

2018 ◽

Author(s):

Mohammed-Ali Anwar

Keyword(s):

Cloud Computing ◽

Mobile Computing ◽

Mobile Devices ◽

Data Security ◽

Mobile Cloud Computing ◽

Technological Development ◽

Mobile Cloud ◽

Cloud Environment ◽

Security Issues ◽

Use Of Resources

Mobile Cloud Computing (MCC) is a recent technological development, which has emerged from two popular technology trends; mobile computing and cloud. In essence it revolutionises the capabilities of mobile devices by integrating both storage and processing of the cloud environment with mobile computing and in doing so providing greater optimisation and operating power, allowing for transparent and seamless use of resources provided by the cloud. However, expanding the capability of resource constrained mobile devices in this manner comes at a price. There are many risks associated with the security of data within the cloud environment and as MCC essentially uses the cloud, it also inherits any security issues that are associated with cloud computing. The aim of this survey is to identify potential data security issues, and analyse and present some pioneering security mechanisms and finally suggest some future directions for better data security with MCC.

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Mobile Cloud Computing: Taxonomy and Challenges

Journal of Computer Networks and Communications ◽

10.1155/2020/2547921 ◽

2020 ◽

Vol 2020 ◽

pp. 1-23

Author(s):

Ahmed Aliyu ◽

Abdul Hanan Abdullah ◽

Omprakash Kaiwartya ◽

Syed Hamid Hussain Madni ◽

Usman Mohammed Joda ◽

...

Keyword(s):

Cloud Computing ◽

Mobile Cloud Computing ◽

Cost Effective ◽

Qualitative Assessment ◽

The Internet ◽

Mobile Cloud ◽

Energy Aware ◽

Research Issues ◽

Delivery Platform ◽

Cloud Users

Mobile cloud computing (MCC) holds a new dawn of computing, where the cloud users are attracted to multiple services through the Internet. MCC has a qualitative, flexible, and cost-effective delivery platform for providing services to mobile cloud users with the aid of the Internet. Due to the advantage of the delivery platform, several studies have been conducted on how to address different issues in MCC. The issues include energy efficiency in MCC, secured MCC, user-satisfied applications and Quality of Service-aware MCC (QoS). In this context, this paper qualitatively reviews different proposed MCC solutions. Therefore, taxonomy for MCC is presented considering major themes of research including energy-aware, security, applications, and QoS-aware developments. Each of these themes is critically investigated with comparative assessments considering recent advancements. Analysis of metrics and implementation environments used for evaluating the performance of existing techniques are presented. Finally, some open research issues and future challenges are identified based on the critical and qualitative assessment of literature for researchers in this field.

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An Open and Portable Platform for Learning Data Security in Mobile Cloud Computing

Proceedings of the 17th Annual Conference on Information Technology Education - SIGITE '16 ◽

10.1145/2978192.2978201 ◽

2016 ◽

Author(s):

Lei Li ◽

Kai Qian ◽

Ragid Hasan ◽

Qian Chen ◽

Dalei Wu ◽

...

Keyword(s):

Cloud Computing ◽

Data Security ◽

Mobile Cloud Computing ◽

Mobile Cloud ◽

Learning Data

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Multilayer Architecture Model for Mobile Cloud Computing Paradigm

Complexity ◽

10.1155/2019/3951495 ◽

2019 ◽

Vol 2019 ◽

pp. 1-13 ◽

Cited By ~ 5

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.

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