Investigation of the Effectiveness of Intellectual Property Law Protection Path under Big Data Evaluation

With the continuous development of artificial intelligence technology, effective Internet of Things security certification would provide a strong guarantee for the security of intellectual property law. In the age of big data, the exchange and control of intellectual property is inevitable and more important. The exchange of intellectual property can not only promote the economic benefits of enterprises, but also provide a basis for the rights and interests of the government, which makes the value of intellectual property realized. The traditional legal protection can no longer adapt to the development of the times. This paper proposed an L-diversity algorithm based on big data analysis. This method could not only effectively prevent user identity errors, but also provide users with adequate defense mechanisms. At the same time, it could also mine the attacked web pages to protect knowledge property rights. The experimental results of this paper showed that only 17% of the people knew the intellectual property law very well in the survey results of people's cognition of the intellectual property law; only 11% of the people had a better understanding of the intellectual property law; 22% of the people did not know the intellectual property law; the proportion of people who were very ignorant of the intellectual property law was 50%. It could be found that most people did not know enough about the intellectual property law, so they could not protect their rights and interests. Therefore, the path of intellectual property law protection should be studied based on big data in the context of AI and the Internet of Things.