Application of Crawler Algorithm for Situational Awareness in Network Security

Application of Crawler Algorithm for Situational Awareness in Network Security

연구 분야: Networking

학회: International Conference on Data Science, Machine Learning and Applications

A key idea in network security is situational awareness, which enables prompt detection and reaction to cybersecurity threats. This study investigates the use of crawler algorithms to improve situational awareness in network security. In this article, we look at the theoretical underpinnings of awareness of situations, the function of crawler algorithms, how they're used in security of networks, and how they affect threat and incident response. The network protection event database was created and constructed using data gathered from multiple Zhiming network security incident websites using the Scrappy web crawler framework, which improved the situational awareness research's data. In this study, a text-based network safety event evaluation instrument is built and executed in order to analyze the evaluation and interpretation of network security incidents, which is a critical component in the process of security awareness and perception. The crawler technique was used to build a network vulnerability event database that has 45,820 sets of data, which is an increase in capacity of 14.36% and 30.53% over the old approach and a reduction in reading time of 65.2% and 88.4%.