Exploring Pricing, Trading, and Protection in the Big Data Market

Big data is regarded as the secret to releasing the following massive surges of economic development. In light of a variety of new apps and platforms that are integrated into our everyday routines, such as smartphones and tablets, social access networks, and Website of Things-based automated devices, the quantity of data being gathered worldwide has been growing exponentially (smart grid, smart transportation, smart cities, etc.). How to effectively use the data has become a crucial problem due to the overall rise of data. This necessitates the creation of a big data market that facilitates effective data sharing. Data proprietors and users can interact with each other, share, and increase the usefulness of data by moving it into the smartphone industry as a sort of product. The creation of a marketing server and going to trade ploys that maximize the people's benefits of income to buy while maintaining high - quality and anonymity, as well as measures to prevent the decided to trade data from it being resold in order to preserve the software's value, are barriers that must be overcome in allowing such a lead to customer satisfaction for data making trades. In this article, we perform a thorough analysis of the data lifetime and data collection. To be more precise, we first investigate a broad range of payment systems, classify them into various categories, and carry out a thorough analysis of the benefits and drawbacks of these modeling techniques. The creation of data sharing systems and methods that enable effective, safe, and private information data trading is the next area of emphasis. We examine information protection identification systems and managing digital rights systems in our final section. Data security issues throughout the lifetime of data sharing are described using computer cryptography, timestamping, and other techniques.