Research on Security Enhancement for Abnormal Content Release in Unified Audio Video Information service Systems

Abstract

Objective Traditional manual review processes can no longer meet the demands for real-time and accurate information assessment. To enhance the security of Shanghai rail transit system, it is necessary to implement an intelligent review mechanism for identifying abnormal content within unified audio video information service systems. Method The content audit system using decision tree algorithms is combined with a unified audio video information service system, to construct an integrated data and multi-dimensional information security model, thereby improving the existing audio video information security management system. This system monitors and audits audio video content to identify and address potential security threats. Experimental evaluations are conducted to assess the system applicability and the performance of abnormal content review under various operational conditions of the audio video information security management system. Result & Conclusion The improved audio video information security management system demonstrates significant practical value, with both omission ratio and error detection rate controlled within 0.5% and 2.0%, respectively. The system efficiently detects prohibited content while ensuring that legitimate content remains unaffected. The service stability is recorded at 99.9%, ensuring continuous monitoring over long periods. Video stream inspection latency is controlled within 5 seconds, and the time from abnormal sample detection to alert within 2 seconds, allowing for rapid response measures.

Keywords

• shanghai rail transit
• audio video publishing
• information security management