Privacy Preserving in Electronic Health Records: A Comparative Study | ||||
IJCI. International Journal of Computers and Information | ||||
Articles in Press, Accepted Manuscript, Available Online from 14 May 2025 | ||||
Document Type: Original Article | ||||
DOI: 10.21608/ijci.2025.355315.1189 | ||||
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Authors | ||||
nada adel abou elela ![]() ![]() | ||||
1computer science, computers and information, menoufia, shibenelkom, egypt | ||||
2Computer Science Department, Faculty of Computers and Information, Menoufia University | ||||
3computer science , faculty of computers and information, menoufia university | ||||
Abstract | ||||
Electronic Health Records (EHR) have become a cornerstone of modern healthcare, enabling efficient storage, retrieval, and management of patient data. With the rise of IoT devices such as smartwatches, fitness trackers, and other wearable technology, accessing EHR in real-time has become increasingly common. These devices often operate in constrained environments with limited computational resources, necessitating cryptographic algorithms that are both lightweight and secure. This research evaluates some lightweight cryptographic algorithms—Speck, AES, Simon, LEA, DES, and RSA—across four operating systems with different resources. The study focuses on key performance metrics, including execution time, energy consumption, memory usage, and CPU usage, to determine the best algorithm for securing EHR on resource-constrained IoT devices. The findings highlight Speck and AES as the most efficient algorithms, providing quick, secure, and resource-friendly operations. In contrast, DES and RSA exhibited high resource demands, making them unsuitable for such applications. This study underscores the need for carefully selecting cryptographic algorithms to enhance security and efficiency in IoT-based healthcare systems. | ||||
Keywords | ||||
Electronic Health Records (EHR), Lightweight algorithms, Constraint systems, Speck, Secure healthcare systems | ||||
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