| Title | A fuzzy decision tree reasoning method for network forensics analysis |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Ye, Jiao |
| Conference Name | 2022 World Automation Congress (WAC) |
| Keywords | computer networks, Computer science, Current measurement, Forensics, Fuzzy decision tree, Human Behavior, human factors, information forensics, Information security, Metrics, Network forensics analysis, Network security, pubcrawl, reasoning method, resilience, Resiliency, Scalability, Systematics |
| Abstract | As an important branch of computer forensics, network forensics technology, whether abroad or at home, is in its infancy. It mainly focuses on the research on the framework of some forensics systems or some local problems, and has not formed a systematic theory, method and system. In order to improve the network forensics sys-tem, have a relatively stable and correct model for refer-ence, ensure the authenticity and credibility of network fo-rensics from the forensics steps, provide professional and non professional personnel with a standard to measure the availability of computer network crime investigation, guide the current network forensics process, and promote the gradual maturity of network forensics theories and methods, This paper presents a fuzzy decision tree reason-ing method for network forensics analysis. |
| DOI | 10.23919/WAC55640.2022.9934389 |
| Citation Key | ye_fuzzy_2022 |
A fuzzy decision tree reasoning method for network forensics analysis