Quantum-Safe Cryptography for Security Enhancement using Lattice-based LWE with Enhanced Approach

The fast evolution of Internet of Things (IoT) systems has presented a variety of security issues caused by the heterogeneity of devices, a lack of calculational resources, and the growing vulnerability to cyberattacks. Conventional cryptography is no longer sufficient and especially with the development of quantum computing that can break into popular encryption algorithms. This paper presents a quantum-resistant cryptography system based on an improved lattice-based Learning with Errors (LWE) algorithm to achieve secure and efficient communication in IoT networks. The suggested architecture combines optimized polycomputation with Residue Number System (RNS) and Karatsuba multiplication to minimize computation costs and still provide high security assurances. It includes secure key creation, effective data processing and robust encryption-decryption processes optimized to resourceconstrained devices. More security measures, such as authentication and integrity checking, are used to increase resilience to both classical and quantum attacks. Experimental evidence shows that the proposed methodology has better performance about shorter encryption time, lower latency and optimization of using memory than traditional and available methods based on lattices. Besides, advanced threats like brute-force, replay and quantum-based attacks are resisted highly using the framework. Overall, this study provides a scalable, efficient and quantum-resistant solution to secure next-generation IoT systems. It is important to note that the results demonstrate the feasibility of improved LWE-based cryptography in practice and can fill significant gaps of the existing IoT security architecture, as well as precondition the development of the post-quantum security in the future.