Lightweight Cryptography Algorithm for Secure Data Transmission in IoT Applications

The rapid expansion of Internet of Things (IoT) networks introduces critical security challenges, particularly during data transmission. This manuscript presents a novel lightweight cryptography framework that integrates the Firefly Optimization with Elliptic Curve Cryptography (FA-ECC) to optimize key management and enhance data security. Additionally, a dense recurrent neural network (DRNN) module predicts and blocks malicious data entries, ensuring only legitimate data reaches the cloud. The proposed framework simultaneously improves security, efficiency and quality of service in IoT networks. Experimental evaluations demonstrate that the FA-ECC and DRNN integration effectively reduces energy consumption, transmission delay and vulnerability to attacks, establishing a secure and optimized data exchange mechanism for IoT environments.