<p>The World Health Organisation (WHO) states that the term “telemedicine” initially described the practice of providing medical care over a wide geographic region through the use of the Internet and sophisticated communication technologies. In addition, routine patient examinations, data storage and analysis, remote patient monitoring, and international physician consultation are examples of such healthcare services. These services make it easier to employ smart technology to enhance healthcare infrastructure, including wireless body area networks, the internet, sensors, and communication methods. However, the vast array of networked devices in the digital healthcare system raises concerns about privacy and security. Medical records for patients are sensitive and should not be altered in any way. An effective Linear Feedback Shift Register-based mapping, Folding and XOR (LFSR-FX) protocol is proposed in order to lessen this problem. It comprises hash function generation in CBC mode, key generation based on LFSR, and encryption using excess-3 mapping, folding, and XOR operation. Hash code generation in CBC mode is used to ensure data integrity. Finally, the proposed e-healthcare monitoring protocol offers an efficient feature in terms of communication, computation, and storage costs when compared to contemporary algorithms presented in earlier studies. The Experimental results show that the LFSR-FX protocol has a minimum computation time and higher throughput when compared to AES algorithm. The computation time of LFSR-FX is 30 ms, whereas the AES takes 33ms. The throughput rate of LFSR- FX is 17.725 Kb/S and 16.057 Kb/S for AES. These results demonstrates that the LFSR-FX algorithm is faster than the AES algorithm. Also the communication cost (384 bits) and storage cost (128 bits) are low, making it suitable for smart healthcare applications.</p>

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Protecting Healthcare Data Integrity and Security with Advanced Cryptographic Algorithms

  • P. Vimala Devi,
  • V. Kalaichelvi

摘要

The World Health Organisation (WHO) states that the term “telemedicine” initially described the practice of providing medical care over a wide geographic region through the use of the Internet and sophisticated communication technologies. In addition, routine patient examinations, data storage and analysis, remote patient monitoring, and international physician consultation are examples of such healthcare services. These services make it easier to employ smart technology to enhance healthcare infrastructure, including wireless body area networks, the internet, sensors, and communication methods. However, the vast array of networked devices in the digital healthcare system raises concerns about privacy and security. Medical records for patients are sensitive and should not be altered in any way. An effective Linear Feedback Shift Register-based mapping, Folding and XOR (LFSR-FX) protocol is proposed in order to lessen this problem. It comprises hash function generation in CBC mode, key generation based on LFSR, and encryption using excess-3 mapping, folding, and XOR operation. Hash code generation in CBC mode is used to ensure data integrity. Finally, the proposed e-healthcare monitoring protocol offers an efficient feature in terms of communication, computation, and storage costs when compared to contemporary algorithms presented in earlier studies. The Experimental results show that the LFSR-FX protocol has a minimum computation time and higher throughput when compared to AES algorithm. The computation time of LFSR-FX is 30 ms, whereas the AES takes 33ms. The throughput rate of LFSR- FX is 17.725 Kb/S and 16.057 Kb/S for AES. These results demonstrates that the LFSR-FX algorithm is faster than the AES algorithm. Also the communication cost (384 bits) and storage cost (128 bits) are low, making it suitable for smart healthcare applications.