Security Issues and Challenges of Mobile Cloud Computing

Shahzad, Abid; Hussain, Mureed; Zulfikar, Shaheed; Bhutto, Ali

doi:10.14257/ijgdc.2013.6.6.04

Cited by 34 publications

(21 citation statements)

References 10 publications

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“…The paper also presents a comparative analysis of research around the area of Mobile Cloud Computing (MCC), as well as future directions for better security of data within mobile [19] Improving reliability; Dynamic provisioning; Scalability; Multi-tenancy; Ease of integration For the means of on-demand self-service and extendibility, it offers the infrastructure, platform and software services in a cloud environment to mobile users through mobile network. [20] Long battery output time; Enhanced processing power and data storage space; Extended processing power and data storage; Extra data and application reliability; Scalability; Multitenancy; Flexible Integration…”

Section: An Overviewmentioning

confidence: 99%

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

Anwar

2018

Preprint

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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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Section: An Overviewmentioning

confidence: 99%

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

Anwar

2018

Preprint

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“…To provide best possible results the offloading technique is used with the mobile cloud.  Abid Shahzad and Mureed Hussain [8], Three service models of cloud computing have been clearly explained with relevant scenarios. Each and every cloud deployment model with their benefits was given here.…”

Section: Related Workmentioning

confidence: 99%

“…Because of the following operations performed by the sensor the power of the battery will be reduced, those operations are data transmission, processing, and sensing [8]. While performing these operations continuously the battery will get down gradually.…”

Section: Scope and Objectivementioning

confidence: 99%

“…Since it is difficult to maintain the battery performance it is said that there must me some different method to obtain the values from the sensor. Sensors nearer to the gateway will sense a number of values and sends back to the gateway frequently [8]. So the sensors which are all nearer to the gateway will be the main reason for battery draining problem.…”

Section: Scope and Objectivementioning

confidence: 99%

“…The data from the wireless network to the cloud will also lead loss in data due to several issues such as low bandwidth, network overcrowding or obstruction [8]. In this kind of cases, if Wireless Sensor Network cannot achieve data retrieval, the data will not be received by cloud from wireless network.…”

Section: Scope and Objectivementioning

confidence: 99%

See 2 more Smart Citations

Providing Useful Data Reliably to Mobile Cloud Users from Random Wireless Sensor Network

Palani¹

2017

IJWMT

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The integration of mobile cloud computing and wireless sensor network plays an important role in the field of research and industry. Data fetched from Wireless Sensor Network (WSN) are stored in the cloud and provides it to the mobile cloud users. This integration helps in providing data to users in the form of digitalization. To help the applications involving an integration of Mobile Cloud Computing (MCC)-Wireless Sensor Network, this paper finds the crucial things that influence the sensor data and WSN, and then propose a concept called Time based Priority Sleep Scheduling (TPSS). TPSS is divided into three parts 1. Based on the priority and time, wireless sensor network gateway should transmit the sensed data to cloud and 2. The algorithm used to save the battery consumption of mobile users in fetching data from the cloud is Priority Based Sleep Scheduling (PBSS); this provides data to users request based on the time slot. 3. Location Based Sleep Scheduling (LBSS) algorithm used to provide sensed data based on mobile cloud users location.

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