Software Informatization Security Platform in Big Data Environment

With the rapid development and mutual penetration of information technology and communication technology, people's daily life has undergone tremendous changes, and the era when communication basically relied on roaring has passed. The development of smartphones reflects the great convenience brought by technology. The development trend of smart phones reminds us that smart phones play an increasingly important role in the fields of mobile communication, mobile computing, mobile work, and mobile life. Research on the status and trends of mobile application platforms shows that smartphones will occupy a larger market. However, a lot of attention needs to be paid to software security. For this reason, this paper conducts design research on software information security platform in the big data environment. In this paper, the structure of the open software information security platform in the big data environment can be divided into service layer, application standard and protocol layer, data layer and hardware layer. Various systems, services and information are combined to establish a unified comprehensive service portal. Experiments show that the accuracy of all feature selection algorithms is above 80%, and the Relief algorithm has the best effect, with a maximum accuracy of 89%. Secondly, the better effect is the TF -IDF algorithm, and the worst effect is the chi-square test.