文献类型：期刊文献

英文题名：A Sustainable Data Encryption Storage and Processing Framework via Edge Computing-Driven IoT

作者：Li, Qi[1];Huang, Jian[1];Li, Sihan[1];Huang, Chenze[2]

机构：[1]Shaoxing Univ, Shaoxing 312000, Zhejiang, Peoples R China;[2]Northwestern Polytech Univ, Res & Dev Inst, Shenzhen, Guangdong, Peoples R China

年份：2024

卷号：32

期号：7

起止页码：1510

外文期刊名：ENGINEERING LETTERS

收录：EI(收录号：20242916705578)、ESCI(收录号：WOS:001288048300023)、Scopus(收录号：2-s2.0-85198395075)、WOS

语种：英文

外文关键词：Network security; edge computing; homomorphic encryption; Internet of things

外文摘要：Edge computing serves as a critical intermediary for secure data exchange between IoT devices and data centres in healthcare, where the protection of sensitive patient data is paramount. This study presents UdesMec, a comprehensive edge computing framework designed for efficient and secure data storage and processing in such contexts. Focusing on the challenge of implementing robust data security models in the presence of limited resources at edge nodes, UdesMec employs a unified encryption approach that is particularly suited for expert knowledge-based prediction of complex critical medical events. Using secret sharing and homomorphic encryption, it ensures the confidentiality and integrity of sensitive patient data transmitted by IoT devices, while enabling efficient computation of prediction algorithms on a cloud server. The experimental evaluation confirms the strong encryption performance and the ease of use of UdesMec, positioning it as a promising solution for the secure and reliable prediction of complex critical medical events in healthcare systems based on edge computing.