Automation of Abnormal IP Blocking in Security Systems Using OCR-Driven Web Interaction and Real-Time Alert Integration
The Shandong Earthquake Agency has established a comprehensive protection system that meets the national third-level safety requirements. However, challenges remain, such as delayed detection of malicious attacks and overly complex procedures for blocking abnormal IP addresses. To address these issues, this paper proposes a solution that leverages Selenium crawler technology, a Qt-based graphical user interface, and the integration of Baidu OCR and WeChat public account interfaces. The system enables simulated logins to network security equipment, real-time abnormal IP monitoring, automated alarm notifications, and automated interactions such as interface clicks and text input. With these functions, it achieves one-click blocking of abnormal IP addresses on security devices while storing related information for future reference. Since its deployment, the software has effectively enhanced the push of high-risk alarm information in the full-flow network security analysis system and streamlined the blocking of abnormal IPs in security devices such as firewalls, significantly improving the timeliness and efficiency of security protection.
Authors
- Zhang Wei
- Yin Yuzhen
- Fang Xiaoliang
Institutions
- Heilongjiang Earthquake Agency (CN)
Publication Details
- Journal
- Journal of Cyber Security and Mobility
- Published
- 2025-10-14
- DOI
- https://doi.org/10.13052/jcsm2245-1439.1449
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00