A secure emotion aware intelligent system for Internet of healthcare
【Author】 Rathee, Geetanjali; Garg, Sahil; Kaddoum, Georges; Hassan, Mohammad Mehedi
【Source】ALEXANDRIA ENGINEERING JOURNAL
【影响因子】6.626
【Abstract】Emotional aware intelligent healthcare mechanism is seen as one of the emergent tech-niques that can be used to overcome the traditional communication issues like storage overhead and delay in transmission process in healthcare systems. It is a smart technique primarily used to ensure faster connectivity and transmission as well as healthcare data processing through various heterogeneous networks by understanding human emotions. Researchers have focused on various processing and transmitting techniques of emotional aware intelligent systems. However, very few of them have focused on the need for security while transmitting or reading the patients' record. The aim of this paper is to propose a secure and transparent communication mechanism in intelligent emotional aware systems using Analytical Hierarchical Process (AHP), blockchain system and a mathematical model. AHP and the mathematical model are used to ensure accuracy during the data transmission process by analysing the legitimacy of each device. In addition, the identity based trust and blockchain mechanism is used to ensure the continuous analysis and transparency among net-work entities while transferring the information. The proposed framework is further analysed against existing models over various security matrices such as data alteration, report generation, accuracy etc. The out performance of proposed mechanism is approximate 89% as compare to existing mechanism.& COPY; 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
【Keywords】Intelligent systems; Emotion aware; Blockchain scheme; Blockchain-based healthcare; Security; Trusted intelligent
【发表时间】2023 15-Jul
【收录时间】2023-07-19
【文献类型】实验仿真
【主题类别】
区块链应用-实体经济-医疗领域
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