AI 中文总结
针对物联网传感器聚合的安全可扩展需求，提出拓扑感知同态区块链架构Phi-PHE-BC，结合门限Paillier解密与图分析，在Hyperledger Fabric 2.5上实现低延迟，为物联网数据聚合提供实用方案。
AI 中文摘要
物联网传感器聚合的同态加密区块链框架通常依赖经典密码学困难假设，且在活性与性能分析中很少考虑网络拓扑。本研究提出Phi-PHE-BC，一种用于安全且隐私保护的物联网传感器数据聚合的拓扑感知同态区块链架构。该框架将门限Paillier解密与图参数化的安全及性能分析相结合，将协议行为与验证者图关联。链上Paillier密文支持同态聚合，在判定复合剩余假设下提供IND-CPA保密性，认证签名提供EUF-CMA交易完整性。门限部分解密份额受噪声淹没包装器保护，在配置的统计隐藏条件下提供信息论隐私。在部分同步与拜占庭容错假设下，活性要求验证者连通度κ(Gv)≥f+1。我们推导了树型、星型、网状及无标度网络的拓扑相关吞吐量边界，以及每区块通信成本模型。博弈论分析表明，在所述效用模型下，诚实验证者参与是占优策略，产生全诚实纳什均衡。在Hyperledger Fabric 2.5上的实验显示，与选定的传统PHE区块链基线相比，其端到端延迟更低，同时保持可控的门限解密开销。在拓扑扩展、验证者敏感性、门限解密及拜占庭负载实验中的结果表明，Phi-PHE-BC是一种用于安全、隐私保护且拓扑感知的物联网传感器聚合的实用架构。
英文摘要
Homomorphic-encryption blockchain frameworks for IoT sensor aggregation generally rely on classical cryptographic hardness assumptions and seldom account for network topology in liveness and performance analysis. This work introduces Phi-PHE-BC, a topology-aware homomorphic blockchain architecture for secure and privacy-preserving IoT sensor data aggregation. The framework combines threshold Paillier decryption with graph-parameterized security and performance analysis, linking protocol behavior to the validator graph. On-chain Paillier ciphertexts support homomorphic aggregation while providing IND-CPA confidentiality under the Decisional Composite Residuosity assumption, and authentication signatures provide EUF-CMA transaction integrity. Threshold partial-decryption shares are protected by a noise-flooding wrapper that provides information-theoretic privacy under the configured statistical-hiding condition. Under partial synchrony and Byzantine fault-tolerance assumptions, liveness requires validator connectivity kappa(Gv) >= f+1. We derive topology-dependent throughput bounds for tree, star, mesh, and scale-free networks, together with a per-block communication-cost model. A game-theoretic analysis shows that honest validator participation is a dominant strategy under the stated utility model, yielding an all-honest Nash equilibrium. Experiments on Hyperledger Fabric 2.5 show lower end-to-end latency than the selected traditional PHE-blockchain baseline while maintaining controllable threshold-decryption overhead. Results across topology scaling, validator sensitivity, threshold decryption, and Byzantine-load experiments indicate that Phi-PHE-BC is a practical architecture for secure, privacy-preserving, and topology-aware IoT sensor aggregation.
Comments26 pages
