Machine Learning Algorithms for IOT Services in Big Data and Cloud Computing
Keywords:
Internet of Things, Cloud Computing, Big Data, Security, PrivacyAbstract
The phrase "cloud computing" refers to a kind of data management system in which mobile devices are not used for either the processing nor the storing of user data. The Internet of Things (IoT), a brand-new technology that is only now entering its formative years, is also becoming more widespread in the networks and telecommunications sectors. The "modern" sector of wireless telecommunications networks is where the majority of the emphasis of application for the Internet of Things is now being directed. In the most recent part of our line of research, we investigated the relationships and interactions that exist between the many different entities and equipment that communicate across wireless networks. They need to achieve the goal that has been set for them as a group in order to make the atmosphere more conducive to the use of big data. This will help create a more favourable environment for the use of big data. This article discusses the Internet of Things (IoT) and Cloud Computing technologies, with a particular focus on the security challenges that each of these technologies has experienced. In the field of medicine, for instance, big data is being put to use in order to bring down the costs of treatment, anticipate the arrival of pandemics, prevent sickness, and carry out a variety of other related activities. This article provides a comprehensive introduction to the approach of big data analytics, which is crucial in a variety of fields of work and businesses. First, we will present a brief overview of the concept of big data, which refers to the quantity of data that is generated on a daily basis, as well as its characteristics and facets.
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