Abstract

Data privacy protection and secure sharing are the
main issues faced by smart healthcare Internet of Things (IoT)
systems. In medical uses, patient health information is frequently
kept in the cloud, which limits the user’s ability to entirely
control their data. Additionally, standard encryption keys do not
sufficiently mitigate the risks posed by malicious entities like
compromised cloud service providers. To address these issues,
blockchain technology, combined with Internet of Medical Things
(IoMT) can securely safeguard patient medical records through
a peer-to-peer, secure, and collective ledger. Therefore, we
propose a novel IoT-driven architecture that leverages blockchain
technology to protect patient medical files from tampering and
unauthorized access. This architecture integrates patient medical
files with blockchain and is enhanced by a combination of
bidirectional long short-term memory (BiLSTM) networks and
convolutional neural networks (CNN). Utilizing blockchain for
the transmission of encrypted data significantly strengthens data
security and minimizes the risk of data breaches. The process
of generating encryption and decryption keys through a coupled
CNN and BiLSTM ensures the robustness and uniqueness
of these keys. Additionally, the selection of the best key is
performed using the gradient descent optimization algorithm
(GDOA), which demonstrates the effectiveness and efficiency
of the encryption and decryption process. We also compare
the implementation of our model with existing technologies,
assessing its performance based on various metrics, including
restoration efficiency, response time, record time, key generation
time, encryption time, decryption time, turnaround time, and
overall running time. Our proposed method is confirmed to
be more effective than current techniques in terms of these
performance metrics.