A Blockchain-Enabled Framework for Privacy Preserving Smart Mobility Services
Abstract
Smart mobility services generate large volumes of sensitive location and identity data, raising critical concerns related to privacy leakage, security vulnerabilities, and trust in large-scale urban deployments. To address these challenges, this paper proposes a blockchain-based privacy-preserving framework for smart mobility services that integrates geo-indistinguishability, pseudonymous authentication, Zero-Knowledge Proofs (ZKPs), and Proof-of-Authority (PoA) consensus into a unified architecture. The framework ensures end-to-end privacy by combining calibrated location obfuscation with decentralized transaction validation and immutable auditability, thereby mitigating both inference-based attacks and reliance on centralized trust. The proposed framework was evaluated using the TAPAS Cologne mobility dataset, comprising 1,000 simulated vehicles and 20 block-chain validators. Experimental results demonstrate that adversarial inference accuracy is reduced to below 12%, while approximately 75% navigation utility is preserved at balanced privacy budgets. Security analysis confirms robust protection against tracking, replay, Sybil, and collusion attacks, with replay attack success rates reduced from 70% to 2% through the enforcement of timestamps and nonces, along with cryptographic verification. Performance evaluation demonstrates that the framework achieves high throughput (1,200 transactions per second) with sub-second latency (0.8 seconds) under realistic transaction loads. Storage growth is optimized to 2.1 GB per million transactions, and the PoA consensus mechanism achieves approximately 30% lower energy consumption compared to Proof-of-Stake-based designs. In addition, resilience ex-periments confirm Byzantine fault tolerance under up to 30% malicious validator participation, without service degradation. Overall, the results demonstrate the practical feasibility of deploying the proposed framework in real-world smart mobility ecosystems that require simultaneous privacy preservation, scalability, and energy efficiency. The framework represents a significant step toward trustwor-thy, privacy-aware, and sustainable smart-city mobility infrastructure, providing a robust foundation for next-generation decentralized mo-bility services.
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