| Title | Research on Enterprise Information Security and Privacy Protection in Big Data Environment |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Du, Juan |
| Conference Name | 2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) |
| Date Published | dec |
| Keywords | Big Data, big data platform, big data privacy, data privacy, Data security, decision making, Human Behavior, human factors, Information security, machine learning, Metrics, privacy, privacy protection, Production, pubcrawl, Resiliency, Scalability |
| Abstract | With the development of information technology, extracting important data that people need from the vast information has become the key to a successful era. Therefore, big data technology is increasingly recognized by the public. While creating a lot of commercial value for enterprises, it also brings huge challenges to information security and privacy. In the big data environment, data has become an important medium for corporate decision-making, and information security and privacy protection have become the "army battleground" in corporate competition. Therefore, information security and privacy protection are getting more and more attention from enterprises, which also determines whether enterprises can occupy a place in the fiercely competitive market. This article analyzes the information security and privacy protection issues of enterprises in the big data environment from three aspects. Starting from the importance and significance of big data protection, it analyzes the security and privacy issues of big data in enterprise applications, and finally conducts information security and privacy protection for enterprises. Privacy protection puts forward relevant suggestions. |
| DOI | 10.1109/MLBDBI54094.2021.00067 |
| Citation Key | du_research_2021 |
Research on Enterprise Information Security and Privacy Protection in Big Data Environment