Efficient server-aided secure two-party computation in heterogeneous mobile cloud computing

• Main Authors: WU, Yulin, WANG, Xuan, SUSILO, Willy, YANG, Guomin, JIANG, Zoe L., CHEN, Qian, XU, Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Secure two-party computation; server-aided computation; mobile cloud computing; garbled circuit; Data Storage Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7295; https://ink.library.smu.edu.sg/context/sis_research/article/8298/viewcontent/08959296.pdf
• Institution: Singapore Management University

With the ubiquity of mobile devices and rapid development of cloud computing, mobile cloud computing (MCC) has been considered as an essential computation setting to support complicated, scalable and flexible mobile applications by overcoming the physical limitations of mobile devices with the aid of cloud. In the MCC setting, since many mobile applications (e.g., map apps) interacting with cloud server and application server need to perform computation with the private data of users, it is important to realize secure computation for MCC. In this article, we propose an efficient server-aided secure two-party computation (2PC) protocol for MCC. This is the first work that considers collusion between a malicious garbled circuit evaluator and a semi-honest server while ensuring privacy and correctness. Also, it can guarantee fairness when collusion does not exist. The security analysis shows that our protocol can securely compute any function f(x, y) against different types of adversaries in the malicious model. Also, the experimental performance analysis shows that this work outperforms the previous works for at least 10 times with the same security level.