A Comprehensive Analysis of Internet of Things (IOT) Sustained Integrity System Services with Data Management Based ON Machine Learning

Internet of Things (IoT) and Machine Learning (ML) are recent trends in huge data management. Traditionally, data management was carried out by humans where big data collection, analysis and acquisition were solely done by humans. However, IoT and ML have enabled machines rather than humans to collect big data, analyse them and develop a new business model. It has shown huge success in industry 4.0; however, during the management of big data, large-scale companies encountered certain issues. These include, lack of effective training leads to less accuracy in data management, security issues during cloud computing and security issues in blockchain as well. Therefore, this study has explained the ways to improve big data management through ML and to enhance the security of blockchain. A primary survey was carried out with 50 respondents who provided their responses to certain questions related to big data management solutions and blockchain security. Findings showed that providing training to the workers and using guidelines/policies in blockchain can increase the data management accuracy and can improve the security in cloud computing, respectively.