Blockchain-Enabled Secure Data Interactions for Responsive Cyber-Physical Spaces
Kun Huang, Yuwei Le, Yiheng Jiang, Jiaheng Wang, Xintong Ling · 2024
Data interaction serves as the backbone of diverse network services and applications. With the rise of open mobile network ecosystems such as the metaverse, it becomes increasingly essential for the data interaction paradigm to evolve not only towards being faster and more responsive but also more trustworthy and secure. Security risks such as data leakage and tampering have never been as pressing as they are today, presenting an urgent need to enhance security in environments that involve massive interactions among diverse stakeholders, multi-dimensional data, and open settings. Blockchain technology, recognized for its ability to foster trust among network participants, has given rise to the blockchain-enabled data interaction (BDI) paradigm. Despite significant advancements in security-related mechanisms and architectures for BDI, security measures may inevitably impact overall system efficiency. This issue presents critical challenges for responsive cyber-physical systems. In this context, it is crucial to analyze the efficiency of BDI to address these concerns. Therefore, in this work, we first establish a two-dimensional embedded Markov queuing model for BDI with efficient Byzantine fault tolerance (BFT) types of consensus. Then, we obtain the steady-state distribution from the queuing model and evaluate its vacancy probability to capture the efficiency aspects of BDI. We further derive the distribution of the delay involved in BDI and propose the concept of quality of service (QoS) constrained throughput to measure BDI service processing capabilities. Finally, comprehensive simulations are conducted to validate the efficacy of our proposed model and evaluate the impact of varying system parameters on BDI performance.