Performance Comparison of Companding Algorithm in OFDM

Abstract: Mobile cloud computing provides network access to a shared group of computing resources like services, storage applications, network and servers on demand basis as and when required. In mobile cloud computing, mobile devices can depend on cloud computing and information storage resources to perform computationally intensive operations such as multimedia processing and searching. In spite of the hype achieved by the mobile cloud computing the growth of the cloud computing subscribers is still below expectations due to risks associated with the security and privacy. The mobile user’s private data and sensed information must be processed and stored in a secure manner in order to protect user’s privacy in the cloud. In traditional approaches where user’s data is stored in single big data base and same unique encryption keys are used to secure each mobile user’s data. Traditional approaches have several following drawbacks; first in terms of scalability it is not scalable when the database is large. Secondly data encrypting keys for mobile users are maintained in a centralized location which leads to single point of failure. In this framework, cryptographic keys are maintained by cloud service providers.

Keywords: Attribute-Based Encryption, Advanced Encryption Standard, cryptographic keys, Extended shadow images