主机入侵风险预测方法、装置、电子设备及可读存储介质
By analyzing the event information of the target host through big data, querying the number of second historical events from historical events, and calculating the probability of intrusion risk, this solves the problem that existing technologies cannot deal with unknown attack methods, and achieves efficient and low-cost host intrusion risk prediction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SF TECH CO LTD
- Filing Date
- 2022-03-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing host intrusion risk prediction methods are unable to effectively cope with the ever-evolving attack methods and techniques, especially unknown attack methods, resulting in high false alarm rates and excessively high operating costs.
By acquiring event information from the target host, big data analysis is used to query the number of second historical events from historical events, calculate the probability of intrusion risk, and combine the event type and quantity to determine whether the host is at risk of intrusion, thus avoiding the need to set specific detection rules for each intrusion method and technique.
It enables accurate identification of unknown attack methods and techniques, reduces operating and detection costs, and improves the accuracy and efficiency of intrusion risk prediction.
Smart Images
Figure CN116827571B_ABST