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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Development of Equipment and Application of Machine Learning Techniques Using Frequency Response Data for Cap Damage Detection of Porcelain Insulators

The most common method for inspection of insulators is to measure the change of electrical characteristics such as electric resistance and partial discharge.However, even if there is no physical damage, these values vary depending on the temperature, humidity, and chloride content of the atmosphere.In this respect, an alternative to such methods ca

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Assessment of Zinc and Sulphur Solubilizing Plant Growth Promoting Organisms for Potential Use for Lipid Hydrolysis and Cellulose Degradation in Compost for Enhanced Food Quality

The use of zinc and Sulphur solubilizing bacteria to improve compost will help in the mineralization of these vital elements during its production process.Hence, the objective of this paper was to evaluate the assessment of the ability of some plant growth promoting bacteria to solubilize zinc and sulphur and hydrolyze starch and lipid and degrade

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