An enhanced lossless compression with cryptography hybrid mechanism for ECG biomedical signal monitoring

Abstract

Due to their use in daily life situation, demand for remote health applications and e-health monitoring equipment is growing quickly. In this phase, for fast diagnosis and therapy, information can be transferred from the patient to the distant clinic. Nowadays, the most chronic disease is cardiovascular diseases (CVDs). However, the storage and transmission of the ECG signal, consumes more energy, bandwidth and data security which is faced many challenges. Hence, in this work, we present a combined approach for ECG data compression and cryptography. The compression is performed using adaptive Huffman encoding and encrypting is done using AES (CBC) scheme with a 256-bit key. To increase the security, we include Diffie-Hellman Key exchange to authenticate the receiver, RSA key generation for encrypting and decrypting the data. Experimental results show that the proposed approach achieves better performance in terms of compression and encryption on MIT-BIH ECG dataset.

VIHS with ROTR Technique for Enhanced Light-Weighted Cryptographic System

“…Hameed et al [19] utilized a lossless compression mechanism incorporated with the hybrid cryptography technique for securing the ECG signal processing systems. This incorporated the functionalities of Huffman coding scheme with the AES encryption mechanism for enabling a lossless data compression.…”

A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks

“… The LZW performs comparatively better than other methods, but the compression gain shows up to 40% only. Hameed et al [12] To transfer health data to remote distance using Huffman coding. This is useful for ECG signal filtering and compression.…”

“…Different research works have been done on patient data for reducing their size using LZW [9] , LZMA with LZ77 [10] , [11] , Deflate/Huffman coding [12] , [13] , [14] , [15] , [16] , Run-length encoding (RLE) [17] , LZ4 [18] , [19] , LZO [18] , [19] , and BZ2 [11] , [18] . Although these existing techniques are being used for compressing patent data, they do not provide better performance due to having fewer identical samples or multiple occurrences of repetitive substrings in data [15] , [20] .…”

Files cryptography based on one-time pad algorithm

“…Rijndael is a group of ciphers with various key and block sizes. The algorithm portrayed by AES is a symmetric-key algorithm, which means a similar key is utilized for both encrypting and decrypting the data [20]. In software engineering and information theory, a Huffman code is a specific kind of ideal prefix code that is usually utilized for lossless data compression [21].…”