A lossless compression and encryption mechanism for remote monitoring of ECG data using Huffman coding and CBC-AES

Hameed, Mustafa Emad; Ibrahim, Marc; Manap, Nurulfajar Abd; Mohammed, Ali A.

doi:10.1016/j.future.2019.10.010

Cited by 33 publications

(13 citation statements)

References 24 publications

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“…The major drawback of this work was, it has an increased complexity in designing algorithms that limits the performance of the entire system. Hameed et al [12] implemented the lossless compression mechanism with Huffman coding scheme for ensuring the security of broadcast transmission in WBAN. It comprises the stages of estimating the buffer blocks, compression, and encryption, which helps to establish the secured transmission in the network.…”

Section: Literature Surveymentioning

confidence: 99%

VIHS with ROTR Technique for Enhanced Light-Weighted Cryptographic System

N¹,

B²

2022

IJACSA

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Developing a bypass parallel processing block is one of the emerging and exciting research areas in the system encrypt/decrypt application areas. A Partial Pseudo-Randombased Hashing VIHS is the most suitable methodology for designing the system to encrypt/solve a block in cryptography. For this purpose, various VIHS and register techniques have been developed to process the storage system data. But, it is limited by the problems of reduced efficiency, increased computational complexity, high area consumption, and cost consumption. Thus, this research intends to develop a novel dynamic system register with hashing with optimal Hash Signature design to process the system's encryption /decrypt data. The main intention of this paper is to analyze the transfer characteristics of the current based on the pseudo-differential pair for a proficient system detection. Then, a system window can be created and adjusted to obtain an optimized power flow with less data loss sensitivity. The major stages involved in the proposed block design are register, partition design, and VIHS design. The dynamic system register is designed at first for getting a fast decision and to enable a low input-referred offset value. Then, the partition is formed concerning the output of the register, and the VIHS is used to produce the high proportional logical work. During performance evaluation, various measures have been utilized to analyze the performance of the proposed dynamic system registerbased hashing with optimal Hash Signature design. In addition to that, the estimated results are compared with the proposed technique to prove its efficiency.

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Section: Literature Surveymentioning

confidence: 99%

VIHS with ROTR Technique for Enhanced Light-Weighted Cryptographic System

N¹,

B²

2022

IJACSA

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“…This algorithm uses various substitutions, permutations, and linear transformations, and they are processed in 16-byte data blocks, where each one is a 4x4byte block or matrix, which is called state block or state matrix. The above operations are repeated into processes called "rounds", and the number of rounds is 10, 12, or 14 depending on the size of the key [9,17]. For each round, a single round key or subkey (round-key) is calculated using the encryption key, and it is used in the linear transformations.…”

Section: Encryption With Aes Algorithmmentioning

confidence: 99%

“…Several works on the compression of ECG signals are reported in the literature [6][7][8]. Also, other works present both compression and encryption of ECG signals [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Compression and Encryption of Vital Signals Using an SoC-FPGA

Gómez-García

Velasco-Medina

2021

DYNA

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This article presents the implementation of a remote monitoring system of biomedical signals with cybersecurity support and compression of vital sign signals and data of the patient. This system uses a low-cost microsystem for encrypting and compressing the information using the Lempel–Ziv–Welch (LZW) lossless compression algorithm and the Advanced Encryption Standard (AES). In this case, WolfSSL library is used for the implementation of the Transport Layer Security (TLS) protocol, whose encryption function is accelerated by the AES processor designed on a System on Chip - Field Programmable Gate Array (SoC-FPGA) device. A multiparameter board and an SoC-FPGA development board make up the vital signs measurement system, which was calibrated and verified by a commercial patient simulator. Data transmission tests were carried out from the measurement system to the monitoring application developed in LabVIEW and implemented on a personal computer (PC), where vital signs and data of the patient are decrypted and decompressed. Also, it was possible to verify a significant improvement in the performance of the TLS connection. From the results obtained, it can be concluded that the designed microsystem allows to compress, encrypt, and transmit biomedical data in real-time and without loss of information. The microsystem is very suitable for e-health platforms and/or e-health devices that use unsecured communication networks with limited bandwidth.

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“…Yi et al [ 7 ] proposed an adaptive data compression and transmission range extension scheme to improve the data collection rate of sink nodes. Hameed et al [ 8 ] used lossless compression technology and Huffman coding encryption technology to provide effective means for remote monitoring security and compressibility of electrocardiography (ECG) data. Therefore, before the data are wirelessly transmitted, real-time synchronous sampling and compression of the original vibration data is the best solution to solve the above problems.…”

Section: Introductionmentioning

confidence: 99%

Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning

Bai

Wen

et al. 2022

Sensors

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It is critical to deploy wireless data transmission technologies remotely, in real-time, to monitor the health state of diesel engines dynamically. The usual approach to data compression is to collect data first, then compress it; however, we cannot ensure the correctness and efficiency of the data. Based on sparse Bayesian optimization block learning, this research provides a method for compression reconstruction and fault diagnostics of diesel engine vibration data. This method’s essential contribution is combining compressive sensing technology with fault diagnosis. To achieve a better diagnosis effect, we can effectively improve the wireless transmission efficiency of the vibration signal. First, the dictionary is dynamically updated by learning the dictionary using singular value decomposition to produce the ideal sparse form. Second, a block sparse Bayesian learning boundary optimization approach is utilized to recover structured non-sparse signals rapidly. A detailed assessment index of the data compression effect is created. Finally, the experimental findings reveal that the approach provided in this study outperforms standard compression methods in terms of compression efficiency and accuracy and its ability to produce the desired fault diagnostic effect, proving the usefulness of the proposed method.

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A lossless compression and encryption mechanism for remote monitoring of ECG data using Huffman coding and CBC-AES

Cited by 33 publications

References 24 publications

VIHS with ROTR Technique for Enhanced Light-Weighted Cryptographic System

VIHS with ROTR Technique for Enhanced Light-Weighted Cryptographic System

Compression and Encryption of Vital Signals Using an SoC-FPGA

Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning

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