Preserving Data Privacy in Mobile Cloud Computing using Enhanced Homomorphic Encryption Scheme

Abstract

Mobile cloud-based data collection allows users' related information to be collected, processed and stored efficiently and instantaneously. Nevertheless, such data collection approach has a drawback of data confidentiality and user's privacy. Outsourcing users' related information attracts unforeseen attackers to steal such information for their own benefits. Thus, this paper proposes a mobile cloud-based privacy-preserving data collection approach that allows end-users to provide a response based on information, which related to their personal life information in a privacy-preserving manner. In addition, this approach guarantees user's information to be stored securely so as to prevent the data from being tempered easily. This approach uses a Homomorphic Cryptosystem protect the data. Such a cryptosystem allows data processing on the collected data to without decrypting. Such a technique is good to protect the privacy of the data owner. Finally, the result of the proposed scheme is evaluated thoroughly to compare the efficiency with the state-of-art scheme. The result illustrates the proposed scheme provides increased delay efficiency up to 170% compare to other method. Such increment has confirmed that the proposed approach is more suited to operate data collection approach in a mobile cloud computing.