Fuzzy Identification-Based Encryption for healthcare user face authentication

Background: Internet of Medical Things (IOMT) has the potential to monitor health continuously and in real-time. One main issues that arise IOMT is how securely data can be transmitted clinical team. In this project, biometric Identity-based encryption was utilized using Fuzzy-IBE (Identity-based encryption) scheme uses face features clinicians create public key. Figure 1 shows testbed setup designed improve privacy security patients’ healthcare data. Methods: The comprises an ESP32 platform sensing encrypting data, Nvidia Jetson Nano for collection decryption, Thingsboard online vital information visualization. Fuzzy Identity-Based Encryption (FIBE)1–3 legitimate users’ facial features. encrypted Edge-device (Jetson Nano) through BLE/Wi-Fi. On edge-device system, authentication mechanism verifies user's (clinician) legitimacy assess Upon user authentication, their will used generate a private decryption key decrypt received further sent core cloud (Thingsboard) storage To secure on cloud, we deployed Intrusion Detection System (IDS) model deep learning identify inter-domain stream malicious traffic. Results: testing Cryptography relied set. execution time calculated (time encrypt patient's physician's features) match at least d components ciphertext perform message decryption). experimental results are reported Table 1. Conclusion: today's age advanced telecommunication technology, cyber very important factor. work showcases secured against attacks.