Towards Green Security for E-health Applications in The Internet of Things

Meriem, GASMI (2025) Towards Green Security for E-health Applications in The Internet of Things. Doctoral thesis, Université Mohamed Khider (Biskra - Algérie).

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Abstract

The Internet of Things (IoTs) is an emerging technology that connects various de-vices and systems to the Internet, allowing them to communicate and share data. This interconnected network of devices has the potential to revolutionize industries, improve efficiency, and enhance our daily lives. The IoT relies on physical sensors that gather data and transmit it to remote cloud computing platforms for analysis and storage. One of the most promising fields for IoT applications is healthcare, where significant advancements are anticipated. For instance, devices can be implanted in patients’ bodies to monitor vital signs, transmitting the data to the cloud for storage, processing, and informed decision- making. The data should then be accessed by healthcare professionals in real-time, al- lowing for immediate intervention when necessary. With the potential to revolutionize the healthcare industry, the integration of IoT technology in healthcare applications is becoming increasingly prevalent and essential. This research focuses on security aspects, specifically addressing the confidentiality and access control of data (e.g., EMR) during transmission and storage in the cloud. In addition, we examine the energy consumption of IoT devices in healthcare applications, ensuring their optimization for better efficiency. To ensure the confidentiality and security of these sensitive data, encryption techniques and access control protocols must be carefully implemented. Energy efficiency is another crucial aspect to consider, as IoT devices in healthcare applications must be able to op- erate continuously and autonomously without draining excessive power. By addressing these challenges, we can fully harness the potential of IoT technology to improve patient outcomes and streamline healthcare delivery. Ciphertext-Policy Attribute-Based Encryp- tion (CP-ABE) is widely regarded as an ideal method for implementing fine-grained access control. However, existing CP-ABE solutions are not efficient or well-suited for the IoT environment, as data producers are typically highly resource-constrained and unable to perform the public-key cryptographic functions required by CP-ABE. In this thesis, we suggest enhancing the standard CP-ABE to make it more suitable for resource-constrained sensors by offloading the intensive encryption tasks to multiple cooperative nodes. This approach ensures a balanced workload distribution between the sensors and the assistant nodes, taking into account the capacity of the assistant nodes for optimal distribution. We evaluated our proposal through a series of experiments, and the results demonstrate that, compared to existing outsourcing ABE solutions, our approach significantly improves both computation time and energy efficiency, guarantees data confidentiality, prolongs the sensor’s battery life, and ensures fine-grained access control.

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