Due to the advent of the global pandemic, numerous existing challenges, as well as business, have deeply impacted the operations of Governments across the globe. On the other hand, the situation also has spread its influence over industry employees and the purchasing behavior of the consumers. During the world pandemic crisis, worldwide governmental and non-governmental organizations tend to adopt a strong block chain-based data preserving system to detect any suspicious malware behaviors over their business systems. Previously, while managing data protection and privacy, scientists have identified the fact that artificial intelligence possesses several limitations. Scientists within an AI-learning model have identified the data protection and cryptographic algorithms agents related to efficient cyber security systems in the IoT service circumstances. Researchers have gathered relevant information about the role of AI-learning environment systems over classifying and extracting incomplete and damaged data gaps from the original big datasets. In order to comprehend the role of block chain-based data preserving models on data protection and privacy, the researchers tend to investigate all the gathered secondary data regarding this particular topic from valid sources. However, the descriptive research design and a positivism philosophy used in the particular research study at once help researchers to identify the actual role of block chain-based data preserving security systems within an IoT environment. All the research findings and analysis helps in understanding the characteristics of AI-learning in a block chain-based data preservation model for better data privacy and security

Block chain, Internet of Things (IoT), secondary research, AI-learning, researchers, data privacy, and security