Lightweight Quantum-Resistant Group Key Management for Large-Scale IoT Networks Using Lattice Cryptography
DOI:
https://doi.org/10.56979/1102/2026/1575Keywords:
Multi-Recipient Encryption, Lattice Cryptography, Group Key Management, Internet Of Things (IoT) Security, Dynamic Rekeying, Post-Quantum SignaturesAbstract
Secure multi-recipient Internet of Things communication in resource-constrained environments requires cryptographic protocols that are light computational requirements, scalable in bandwidth for large group sizes, and quantum-resistant. Existing group and dual-receiver encryption schemes achieve efficiency using elliptic curve cryptography but lack post-quantum security, which could be compromised by polynomial-time computations on powerful quantum computers. In contrast, current lattice-based alternatives incur prohibitive signature overhead and are unsuitable for embedded deployment. Hence, the research introduces LAGDR (Lattice-Authenticated Group Keying with Dynamic Rekeying), a protocol combining ML-KEM-512 key encapsulation for quantum-resistant key agreement, TinyJAMBU authenticated encryption for lightweight bulk data protection, and Falcon-512 signatures-the first consistent 128-bit post-quantum framework integrating ultra-lightweight AEAD with a fast-verifying compact lattice-based signature scheme for scalable multi-party IoT communication scenarios. Unlike Conventional per-recipient encryption paradigms, LAGDR employs a binary tree key hierarchy, achieving O(log n) rekeying complexity and reducing 512-member group operations from 512 encryptions to 9 while maintaining 666-byte signatures and 800-byte public keys. TinyJAMBU's hardware-optimized permutation (150 cycles/byte)for bulk encryption and Falcon's NTRU structure for sub-5ms signature verification on ARM Cortex-M4 microcontrollers. ML-KEM 512's reduced key sizes enhance bandwidth efficiency without compromising quantum security for target IoT applications.
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This is an open Access Article published by Research Center of Computing & Biomedical Informatics (RCBI), Lahore, Pakistan under CCBY 4.0 International License




