ISSN: 2245-4578 (Online Version) ISSN:2245-1439 (Print Version)
Automation of Abnormal IP Blocking in Security Systems Using OCR-Driven Web Interaction and Real-Time Alert Integration
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Keywords

Abnormal IP
selenium crawler technology
WeChat push
one-click blocking
security protection

How to Cite

[1]
Y. . Yuzhen, F. . Xiaoliang, and Z. . Wei, “Automation of Abnormal IP Blocking in Security Systems Using OCR-Driven Web Interaction and Real-Time Alert Integration”, JCSANDM, vol. 14, no. 04, pp. 981–1006, Oct. 2025.

Abstract

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.

https://doi.org/10.13052/jcsm2245-1439.1449
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Copyright (c) 2025 Journal of Cyber Security and Mobility

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