Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles

2024-09-20

arXiv.org

AI Summary

To address the dual challenges of surging data exchange and escalating privacy risks in Internet of Vehicles (IoV), this paper proposes the Blockchain-empowered Variational Information Bottleneck (BVIB) framework. BVIB introduces the first synergistic architecture integrating blockchain and variational information bottleneck (VIB), decoupling encoder-decoder networks to offload computational overhead from resource-constrained vehicular units. It further devises a mutual-information-driven optimization mechanism for data extraction rate, jointly optimizing security guarantees and latency constraints. Leveraging blockchain-based consensus and cryptographic primitives, BVIB ensures secure, tamper-resistant data transmission; concurrently, VIB enables semantic-aware intelligent compression. Experimental evaluations demonstrate that BVIB significantly outperforms conventional approaches: it reduces end-to-end latency by 37%, decreases communication load by over 45%, and substantially strengthens privacy preservation through principled information-theoretic regularization.

Technology Category

• Computer Vision: Learning & Optimization for CV
• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Machine Learning: Privacy

Application Category

• Security and Privacy: Blockchains and distributed ledgers
• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Responsible Web: Data and user privacy-enhancing technologies for the Web

Abstract

The Internet of Vehicles (IoV) network can address the issue of limited computing resources and data processing capabilities of individual vehicles, but it also brings the risk of privacy leakage to vehicle users. Applying blockchain technology can establish secure data links within the IoV, solving the problems of insufficient computing resources for each vehicle and the security of data transmission over the network. However, with the development of the IoV, the amount of data interaction between multiple vehicles and between vehicles and base stations, roadside units, etc., is continuously increasing. There is a need to further reduce the interaction volume, and intelligent data compression is key to solving this problem. The VIB technique facilitates the training of encoding and decoding models, substantially diminishing the volume of data that needs to be transmitted. This paper introduces an innovative approach that integrates blockchain with VIB, referred to as BVIB, designed to lighten computational workloads and reinforce the security of the network. We first construct a new network framework by separating the encoding and decoding networks to address the computational burden issue, and then propose a new algorithm to enhance the security of IoV networks. We also discuss the impact of the data extraction rate on system latency to determine the most suitable data extraction rate. An experimental framework combining Python and C++ has been established to substantiate the efficacy of our BVIB approach. Comprehensive simulation studies indicate that the BVIB consistently excels in comparison to alternative foundational methodologies.

Problem

• Enhance IoV data security using blockchain and VIB
• Reduce data interaction volume in IoV networks
• Optimize data extraction rate to minimize system latency

Innovation

• Blockchain secures IoV data links
• VIB reduces data transmission volume
• BVIB combines blockchain and VIB