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.

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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
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article

Automation of Abnormal IP Blocking in Security Systems Using OCR-Driven Web Interaction and Real-Time Alert Integration

Zhang Wei, Yin Yuzhen, Fang Xiaoliang
Journal of Cyber Security and Mobility
Network Security and Intrusion Detection
article

Automation of Abnormal IP Blocking in Security Systems Using OCR-Driven Web Interaction and Real-Time Alert Integration

Zhang Wei, Yin Yuzhen, Fang Xiaoliang
article en

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.

Journal of Cyber Security and Mobility
Heilongjiang Earthquake Agency (CN)
Openalex Percentile: Top 66%
Network Security and Intrusion Detection
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