Big Data Technology Application in Software Security Vulnerability Analysis

Along with the rapid development of the times, the information age has quietly come, the Internet of Things as a new era of information technology, and human life, learning, work and other aspects of deep integration together, more Internet of Things devices connected through the network is very widely distributed in many important security areas, and the software is an important enabling component of the Internet of Things devices. With the increase in the variety of software and the scope of applications continue to become larger, the requirements for its security has become increasingly high, software systems that have security vulnerabilities, in the networked environment is easy to be used by criminals, resulting in very serious consequences. The use of traditional methods for vulnerability mining and detection is not only time-consuming and labor-intensive, but also less efficient. Therefore, this paper applies the big data technology, analyzes the attack methods often used by attackers, and designs the vulnerability analysis platform and device processing module according to the Spark technology in big data technology, and increases the efficiency of security vulnerability mining by analyzing the attack characteristics and constructing a model using decision tree algorithm.