@article{3882,
  author = {Xiao Lijun},
  title = {Analysis of Computer Security Forensics Based on Bayesian Network Intrusion Detection},
  journal = {Journal of Information Security Research},
  year = {2023},
  volume = {14},
  number = {4},
  doi = {https://doi.org/10.6025/jisr/2023/14/4/87-95},
  url = {https://www.dline.info/jisr/fulltext/v14n4/jisrv14n4_1.pdf},
  abstract = {With the rapid development of the Internet, network attacks and intrusion behaviors are becoming increasingly serious, and computer security issues have attracted much attention. In order to effectively respond to network attacks, researchers in the field of computer security have proposed various intrusion detection technologies. This article studies the application of intrusion detection technology based on Bayesian networks in computer security forensics analysis. By constructing a Bayesian network model, analyzing and inferring data such as network traffic and system logs, the detection and forensics of network intrusion behavior have been achieved. This method has the advantages of efficiency, accuracy, and adaptability, and can provide important technical support for the field of computer security.},
}