Abstract

The Signal Apex Follower Encryption Decryption (SAFED) approach addresses the confidentiality issues of the IoT device data and employs a persistent security mechanism for the data under transmission. The adaptability of the SAFED approach is evident from the initial stage of cardiac waveform signal (ECG) processing with the Finite Impulse Response (FIR) filter to obtain the fine-tuned ECG signal. The obtained signal is subjected to generating a Binary Sequence, ECG features are extracted through DB4, and an enhanced binary sequence quality conversion mechanism empowered with a ROLE hashing technique to generate a hash value as the private key for the encryption. With this private key and the Binary sequence of P-peaks, the SAFED algorithm encrypts the patient's medical record to ensure secure data transmission across the network. The SAFED performance is articulated from Binary Sequence Generation to key employment for Encryption and Decryption. The technique's overall performance ensures greater data security over communication and ease of adaptability for resource-constrained real-time applications with optimized key size and reduced encryption and decryption time.