Performance analysis and evaluation of postquantum secure blockchained federated learning

【Author】 Gurung, Dev; Pokhrel, Shiva Raj; Li, Gang

【Source】COMPUTER NETWORKS

【影响因子】5.493

【Abstract】As the field of quantum computing progresses, traditional cryptographic algorithms such as RSA and ECDSA are becoming increasingly vulnerable to quantum-based attacks, underscoring the need for robust post-quantum security in critical systems like Federated Learning (FL) and Blockchain. In light of this, we propose a novel hybrid approach for blockchain-based FL (BFL) that integrates a stateless signature scheme, such as Dilithium or Falcon, with a stateful hash-based scheme like XMSS. This combination leverages the complementary strengths of both schemes to provide enhanced security. To further optimize performance, we introduce a linear formula- based device role selection method that takes into account key factors such as computational power and stake accumulation. This selection process is reinforced by a verifiable random function (VRF), which strengthens the blockchain consensus mechanism. Our extensive experimental results demonstrate that this hybrid approach significantly enhances both the security and efficiency of BFL systems, establishing a robust framework for the integration of post-quantum cryptography as we transition into the quantum computing era.

【Keywords】Post quantum cryptography (PQC); Federated learning (FL); Blockchain; Distributed systems

【发表时间】2024 DEC

【收录时间】2024-11-06

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-联邦学习