Design and Evaluation of Cryptographic Algorithms for Secure Data Transmission in Iot Networks

The proliferation of IoT-enabled devices has revolutionized various sectors by enabling real-time data collection, analysis, and automation. However, this interconnectivity raises significant security concerns, especially regarding data transmission. This study aims to develop and evaluate cryptographic algorithms tailored for secure data transmission in IoT networks to address these concerns. IoT networks face unique security challenges due to their limited computational resources and diverse communication protocols. Existing cryptographic algorithms are often too resource-intensive for IoT devices, leading to vulnerabilities. The lack of customized cryptographic solutions, integration of trustworthy communication standards, and lightweight encryption techniques tailored for IoT networks exacerbates these issues. The study will identify key security challenges and requirements for data transmission in IoT networks through comprehensive literature reviews and empirical analysis. Novel cryptographic algorithms will be developed, focusing on lightweight and resource-efficient techniques. These algorithms will be evaluated using simulated IoT environments to assess their performance and effectiveness in real-world scenarios. Key management and distribution mechanisms will be explored, and secure firmware update protocols will be implemented to ensure end-to-end security. The research is expected to yield several significant contributions: the development of lightweight cryptographic algorithms optimized for IoT devices, enhanced security protocols for data integrity and authenticity, and scalable key management solutions. The study will also provide practical guidelines for integrating these cryptographic solutions into IoT networks, ensuring robust protection against various cyber threats. Ultimately, the findings will contribute to a more secure and trustworthy IoT ecosystem, promoting wider adoption and enhancing user confidence in IoT technologies.