Efficient ML-DSA Public Key Management Method with Identity for PKI and Its Application
Penghui Liu, Yi Niu, Xiaoxiong Zhong, Jiahui Wu, Weizhe Zhang, Kaiping Xue, Bin Xiao

TL;DR
This paper introduces a novel identity-based public key management framework for PKI, leveraging post-quantum cryptography and NIST ML-DSA, to improve efficiency and scalability in large-scale, secure PKI applications like RPKI.
Contribution
It proposes the IPK-pq framework that enhances identity mapping, simplifies verification, and provides formal security proof, addressing limitations of traditional certificate-based PKI in the post-quantum era.
Findings
Significant efficiency improvements in RPKI systems using IPK-pq
Enhanced scalability for large-scale PKI applications
Formal security proof validating IPK-pq's robustness
Abstract
With the rapid evolution of the Industrial Internet of Things (IIoT), the boundaries and scale of the Internet are continuously expanding. Consequently, the limitations of traditional certificate-based Public Key Infrastructure (PKI) have become increasingly evident, particularly in scenarios requiring large-scale certificate storage, verification, and frequent transmission. These challenges are expected to be further amplified by the widespread adoption of post-quantum cryptography. In this paper, we propose a novel identity-based public key management framework for PKI based on post-quantum cryptography, termed \textit{IPK-pq}. This approach implements an identity key generation protocol leveraging NIST ML-DSA and random matrix theory. Building on the concept of the Composite Public Key (CPK), \textit{IPK-pq} addresses the linear collusion problem inherent in CPK through an enhanced…
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Taxonomy
TopicsCryptography and Data Security · Security in Wireless Sensor Networks · Wireless Communication Security Techniques
