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- Survey on Security Issues in Mobile Cloud Computing and Prevention Measures
- Privacy and data protection in mobile cloud computing: A systematic mapping study
- Security Issues of Mobile Application Using Cloud Computing
- Privacy and Security in Mobile Cloud Computing: Review
Survey on Security Issues in Mobile Cloud Computing and Prevention Measures
Font Size. User Username Password Remember me. Article Tools How to cite item. Abstract The principle constraints of mobile devices are their limited resources such as processing capability, storage space and battery life. While cloud computing offers a vast computing resources services. A new idea emerged by including the cloud computing into mobile devices to augment the capacities of the mobile devices resources such as smartphones, tablet, and other personal digital assistant PDA which provides a robust technology called Mobile Cloud Computing MCC.
The new challenge is to develop secure methods in order to authenticate high sensitive digital content. This paper investigates the main challenges regarding the security and privacy issues in mobile cloud exactly focusing on the virtualization issue layer and give clear strengths and weaknesses of recent relevant virtualization security techniques existing in the literature. Hence, the paper provides perspectives for researchers in order to achieve as a future work.
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Privacy and data protection in mobile cloud computing: A systematic mapping study
Security issues of the mobile application using cloud computation services are discussed in this paper. Communication between smart phone as a client on the one side and cloud server on the other is described. Security analyse for proposed solution of the health monitoring application is introduced as well. Data about health of the person are one of the most confidential thus need to be secured against different types of threats. Proposed solution is based on the smartphone as a client gathering data and the cloud servers as a computational platform for data storage and analysing.
Usha, Bhavan A. Lecturer, Dept. Abstract — Mobile cloud computing is becoming more and more popular among mobile users and developers who can see a direct benefit to overcome the resource limitations in mobile devices be it battery life, memory space or processing power. The widespread adoption of programmable smart mobile devices and connecting to public domain of internet as well as cloud service providers provide newer privacy as well as security challenges across enterprises. Data loss from stolen or decommissioned mobile devices, unsecured information exchange through rouge access points and access of vulnerable network fetch privacy as well as security threats of mobile cloud computing. Data breaches, account hijacking, insecure API exposure, denial of services, malicious insider attacks, loss of encryption key, virtual machine isolation bring forth some of the additional security and privacy threats.
Security and privacy are the key issues for mobile cloud computing applications, and still face some enormous challenges. In order to facilitate.
Security Issues of Mobile Application Using Cloud Computing
As a result of a shift in the world of technology, the combination of ubiquitous mobile networks and cloud computing produced the mobile cloud computing MCC domain. As a consequence of a major concern of cloud users, privacy and data protection are getting substantial attention in the field. Currently, a considerable number of papers have been published on MCC with a growing interest in privacy and data protection.
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A peer-reviewed article of this Preprint also exists. Neware R. Advances in Intelligent Systems and Computing, vol Springer, Singapore.
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Privacy and Security in Mobile Cloud Computing: Review
Show all documents Mobile Cloud Computing Security as a Service using Android It is proposed that the data being stored to the cloud will be encrypted using a computational cloud before storing the data to the cloud storage. By doing this the data being stored will not be plain text data i. As shown in the figure the data originates from the Smartphone, but is indented to be stored in the cloud storage.
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