Preserving Data Privacy in Mobile Cloud Computing using Enhanced Homomorphic Encryption Scheme. Issue 1 (1st August 2022)

• Record Type: Journal Article
• Authors: Oh, Ee Nah; Baharon, Mohd Rizuan; Yassin, S M W M S M M; Idris, Ariff; MacDermott, Aine
• Is Part Of: Journal of physics. Volume 2319:Issue 1(2022)
• Publication Date: 2022-08-01
• Subjects: Online Data Collection -- Data Confidentiality -- Mobile User Privacy -- Mobile Cloud Computing -- Homomorphic Encryption; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2319/1/012024
• Languages: English
• ISSNs: 1742-6588

Abstract

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.