Safeguarding IoT Big Data: Lightweight End-to-End Encryption for Enhanced Security

Internet of Things Big Data emerged because of the widespread use of Internet of Things (IoT) devices, which present unmatched chances for insights based on data. However, there are also significant privacy and security implications. The main objective of this research is to examine the significance of end-to-end encryption (E2EE) in protecting IoT data from unauthorized access and manipulation. Lightweight encryption techniques that are appropriate for resource-constrained IoT devices are evaluated in terms of their impact on system performance. Additionally, we present case studies in smart home, industrial IoT (IIoT), and smart healthcare scenarios to demonstrate the real-time implementation of end-to-end encryption (E2EE). The results suggest that high-quality E2EE techniques can ensure robust security while simultaneously meeting performance standards. The last part of the paper looks at possible future research topics and opportunities. One of these is how new technologies, such as 6G networks and edge AI, might affect how well E2EE frameworks work in IoT settings.