Analysis of the SSL 3.0 protocol
WOEC'96 Proceedings of the 2nd conference on Proceedings of the Second USENIX Workshop on Electronic Commerce - Volume 2
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
Augmented smartphone applications through clone cloud execution
HotOS'09 Proceedings of the 12th conference on Hot topics in operating systems
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Mobile cloud computing (MCC) is introduced as a supporting architecture for mitigating the resources and energy limitations of mobile devices. And security is considered as a key factor which significantly affects MCC's widely deployment. Thus data protection methods such as encryption were applied to ensure the security of data. However, the complexity increased by data protection methods brings down the performance of transaction processing in MCC. In order to reduce the hurts brought to users' satisfactory by data protection methods, we firstly carried out some experiments based on the Hadoop cloud computing platform for quantitative analysis. We used the two popular encryption algorithms DES and AES(512), simulated the transaction processing, measured the time consumption, and logged the battery voltage change of mobile terminals. Results show that data protection methods have significance effects on the efficiency of transaction processing and the energy consumption of mobile devices. Furthermore, the degree of these effects is closely related to the complexity of protection methods. Based on the analysis, this paper proposed a framework for dynamic data protection, expecting to balance the security and resource consumption in MCC.