Mining virus detection method and device and storage medium
Through a mining virus detection method that combines eBPF tools and reverse engineering tools, file creation information is obtained in real time and mining features are extracted. This solves the problems of missed detection and high false alarm rates of traditional detection methods, and achieves early identification of non-running programs and efficient feature library updates.
Patent Information
- Application Number
- CN202511100083.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-06
- Publication Date
- 2025-09-05
- Estimated Expiration
- 2045-08-06
AI Technical Summary
Existing mining virus detection methods have problems such as missed detection, high false alarm rates, and difficulty in detecting low-intensity and non-resource-intensive mining viruses. Traditional feature library detection is inefficient, and system resource monitoring makes it difficult to accurately identify them.
By mounting the eBPF tool, file creation information is obtained in real time, and reverse engineering tools are used to extract mining features. Virus detection is performed by combining key matching items and bitmap matching technology to identify viruses in non-running programs in real time.
It improves the timeliness and accuracy of virus detection, reduces dependence on third-party tools, can quickly integrate and update feature libraries, reduce false positive rates, and comprehensively monitor files, network behavior, and operating parameters.