Intelligent Prediction And Vulnerability Scanning Of IPv6 Internet Address Space

With the upgrading of the overall network environment and the scale deployment of the next-generation Internet,IPv6 has become an important part of the composition of the Internet,and the importance of network management related to it has gradually become more prominent.Because the length of an IPv6 address is as high as 128 bits,which is far beyond the 32 bits of an IPv4 address,and its complex address structure and allocation methods also cause a large number of IPv4 technologies to be unsuitable for IPv6 environments.Among them,cyberspace scanning and vulnerability scanning,which are critical to cyberspace asset security governance,are exactly the same.Therefore,the IPv6 intelligent address space prediction and vulnerability scanning system studied in this paper is of great significance.This paper makes in-depth research on IPv6 cyberspace scanning and vulnerability scanning technology.First,the literature research method was used to investigate the research status of the two technologies at home and abroad,and various research methods were analyzed and summarized.Then this paper proposes a new IPv6 intelligent address space prediction algorithm and a vulnerability scanning system that works with it.The specific research content is as follows:The first is an IPv6 intelligent address space prediction algorithm.The algorithm includes hexadecimal bit information.Statistics,Bayesian network claim and real-time feedback mechanism are the three main parts.The second is to design and implement a vulnerability scanning system.The system consists of an IPv6 address observation module,an IPv6 address intelligent prediction module,and a vulnerability scanning module.This paper uses real network data as the system input to test and analyze the performance of the algorithm and system in this paper.Under the same comparison standard,the hit rate of the prediction algorithm proposed in this paper has improved.The vulnerability scanning system can integrate the address prediction module with other parts well and can generate corresponding prediction results and vulnerability scanning reports.