Next-Generation Lightweight Encryption Framework Tailored for Resource-Constrained 6LoWPAN Environments

Abstract

As Internet of Things (IoT) ecosystems continue to expand, Low-Power Wireless Personal Area Networks (6LoWPAN) have become essential enablers of energy-efficient connectivity. However, the resource-constrained nature of 6LoWPAN nodes—including limited power, processing capacity, and memory—presents serious security challenges. Conventional encryption mechanisms often exceed the computational capabilities of these devices, leaving networks vulnerable to attacks such as eavesdropping, packet tampering, and unauthorized access. This paper proposes a next-generation lightweight encryption framework optimized specifically for 6LoWPAN environments. It analyzes existing security limitations, examines lightweight cryptographic primitives suitable for constrained nodes, and introduces an adaptive encryption architecture capable of balancing performance, energy consumption, and robust security. By integrating context-aware key management and modular cipher selection, the proposed system enhances resilience against evolving IoT threat landscapes while preserving operational efficiency.