Secure Data Collection and Storage for IoT Devices Using Elliptic Curve Cryptography and Cloud Integration

Abstract

The proposed framework aims to enhance the security and efficiency of data collected from Internet of Things (IoT) devices by integrating advanced data pre-processing and encryption techniques. The workflow starts with the collection of diverse data from IoT devices, such as sensor readings, environmental parameters, and patient information. The collected data undergoes thorough pre-processing, including data cleaning, normalization, and transformation, to ensure high-quality inputs for the encryption phase. To secure sensitive data, Elliptic Curve Cryptography (ECC) is employed as the encryption technique. ECC is chosen for its efficiency, as it provides robust encryption with shorter key sizes, making it ideal for resource-constrained IoT devices. The encrypted data is subsequently stored in a secure cloud environment, ensuring that only authorized entities can decrypt and access the data using the private keys. This approach not only safeguards the integrity and privacy of the data but also enables scalable deployment across various IoT systems. The framework is designed to address challenges related to data security, storage, and processing in IoT-enabled environments, particularly in healthcare and environmental monitoring applications.