Lightweight Cryptography based Deep Learning Techniques for Securing IoT Based E-Healthcare System
Balajee Maram, Ramachandro Majji, Guru Kesava Dasu Gopisetty, Ankit Garg, T. Daniya, Balan Santhosh Kumar · 2023
The integration of deep learning algorithms with lightweight cryptography for boosting the security and effectiveness of an Internet of Things (IoT) based E-Healthcare system is likely discussed in the paper’s abstract. The article might describe the difficulties in protecting private healthcare data sent via IoT networks and suggest a remedy that blends deep learning algorithms with simple encryption techniques. The E-Healthcare system may benefit from increased data privacy, authentication, and integrity as a result of this integration, ensuring that patient information is kept secure during transmission and processing. The potential advantages of this strategy, such as decreased processing overhead, energy usage, and latency, which are essential elements for IoT applications, might be highlighted in the abstract. Overall, by utilizing the synergy of deep learning and lightweight cryptography in the context of IoT, the research hopes to develop secure and effective EHealthcare systems.