Efficient task-verification and data collaboration processing in mobile-cloud based application using ZKP and SMPC

Abstract

With the increasing adoption of mobile applications, data in the mobile cloud faces numerous security threats and privacy breaches. To overcome cyberattacks, ensuring confidentiality and data security for users’ sensitive data is pivotal in mobile cloud computing. Traditional security mechanisms involve data leakage during the verification process, while blockchain-dependent solutions lead to high resource consumption and latency. Additionally, collaborative data processing during data transactions can result in potential privacy attacks on users.

This paper proposes a novel approach for maintaining a security framework for Microservice-based Mobile Cloud Computing (MSCMCC) using hybrid cryptographic frameworks such as Zero-Knowledge Proof (ZKP) and Secure Multi-Party Computation (SMPC). The proposed model validates users’ offloaded data using zk-SNARK and Groth16 for task verification and enables data analysis from multiple users without exposing raw data. SMPC is employed for privacy preservation during collaborative multi-party computation. Experimental results demonstrate that the proposed framework reduces power consumption, improves energy efficiency during processing by 30–35%, lowers computational costs, enhances security and privacy, and effectively manages dynamic load balancing compared to traditional cryptographic techniques.