MACHINE LEARNING FOR AUTHENTICATION AND AUTHORIZATION IN IOT: TAXONOMY, CHALLENGES AND FUTURE RESEARCH DIRECTION

Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction

With the ongoing efforts for widespread Internet of Things (IoT) adoption, one of the key factors hindering the wide acceptance of IoT is security.Securing IoT networks such as the electric power grid or water supply systems has emerged as a major national and global priority.To address the security issue of IoT, several studies are being carried o

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Therapy response monitoring in blood plasma from esophageal adenocarcinoma patients using cell-free DNA methylation profiling

Abstract Esophageal adenocarcinoma (EAC) is an aggressive cancer characterized by a high risk of relapse post-surgery.Current follow-up methods (serum carcinoembryonic offworld drum pads antigen detection and PET-CT) lack sensitivity and reliability, necessitating a novel approach.Analyzing cell-free DNA (cfDNA) from blood plasma emerges as a promi

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