Abstract:In the last few decades, patients demand the data integrity and confidentiality of their Electrocardiography (ECG) signal for remote diagnosis through the network. In this context, a Dynamic Hash key‐based stream cipher for a cryptosystem is proposed to transmit the ECG signal to maintain integrity and confidentiality. The novelty of this proposed methodology is based on real‐time dynamic non‐recursive pseudorandom keystream using dynamic Toeplitz hash value‐based RC4 algorithm, unlike the existing static key‐… Show more
“…Pandian, and K.C. Ray [14] presented the Dynamic Hash Key (DHK) using nonlinear feedback function (NLFF) based cipher for protecting the data integrity of ECG signal. The Non-Singular Sequence Folding (NSSF) -based Toeplitz hash function was included in the key generation model.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, the possibility of retrieving the ECG signals by the adversary is high, when the ECG signal is not secured based on the cryptographic processor. Therefore, the ECG signals are encrypted using the dynamic binary key stream that used to obtain secure medical signal transmission [14]. Subsequently, an appropriate security is provided to the communication system using the light-weight block ciphers [15].…”
Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is widely used to provide high speed data transmission and spectrum efficiency in modern wireless communication systems. Specifically, the transmission of Electrocardiogram (ECG) signal plays a main role in health monitoring systems. The privacy and security of the patient identification and medical records are considered as a main concern in health monitoring systems. In this paper, the Lightweight cryptography (LWC) is proposed to secure the ECG signal transmission from unauthorized users through the MIMO-OFDM system. The LWC is mainly used to minimize the amount of logical elements using the gate level architecture and simple key schedule in the MIMO-OFDM. The turbo code is used in MIMO-OFDM is due to its error correcting capacity that minimizes the amount of error caused during communication under the constraints of burst error and Inter Symbol Interference (ISI). Here, the ECG signals from the MIT arrhythmia database is used to analyse the secure ECG signal transmission of LWC-MIMO-OFDM method. The performance of the proposed LWC-MIMO-OFDM is taken by means of area, delay, power, number of slices, flipflops and LUTs. The LWC-MIMO-OFDM method is compared with Advanced Encryption Standard (AES) to evaluate the efficiency of LWC-MIMO-OFDM. The delay of the LWC-MIMO-OFDM for Virtex 5 device is 13.3ns, it is less when compared to the delay caused by the AES.
“…Pandian, and K.C. Ray [14] presented the Dynamic Hash Key (DHK) using nonlinear feedback function (NLFF) based cipher for protecting the data integrity of ECG signal. The Non-Singular Sequence Folding (NSSF) -based Toeplitz hash function was included in the key generation model.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, the possibility of retrieving the ECG signals by the adversary is high, when the ECG signal is not secured based on the cryptographic processor. Therefore, the ECG signals are encrypted using the dynamic binary key stream that used to obtain secure medical signal transmission [14]. Subsequently, an appropriate security is provided to the communication system using the light-weight block ciphers [15].…”
Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is widely used to provide high speed data transmission and spectrum efficiency in modern wireless communication systems. Specifically, the transmission of Electrocardiogram (ECG) signal plays a main role in health monitoring systems. The privacy and security of the patient identification and medical records are considered as a main concern in health monitoring systems. In this paper, the Lightweight cryptography (LWC) is proposed to secure the ECG signal transmission from unauthorized users through the MIMO-OFDM system. The LWC is mainly used to minimize the amount of logical elements using the gate level architecture and simple key schedule in the MIMO-OFDM. The turbo code is used in MIMO-OFDM is due to its error correcting capacity that minimizes the amount of error caused during communication under the constraints of burst error and Inter Symbol Interference (ISI). Here, the ECG signals from the MIT arrhythmia database is used to analyse the secure ECG signal transmission of LWC-MIMO-OFDM method. The performance of the proposed LWC-MIMO-OFDM is taken by means of area, delay, power, number of slices, flipflops and LUTs. The LWC-MIMO-OFDM method is compared with Advanced Encryption Standard (AES) to evaluate the efficiency of LWC-MIMO-OFDM. The delay of the LWC-MIMO-OFDM for Virtex 5 device is 13.3ns, it is less when compared to the delay caused by the AES.
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