| Title | Research on the Implementation of Real-Time Intelligent Detection for Illegal Messages Based on Artificial Intelligence Technology |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Zeng, Ranran, Lin, Yue, Li, Xiaoyu, Wang, Lei, Yang, Jie, Zhao, Dexin, Su, Minglan |
| Conference Name | 2022 11th International Conference on Communications, Circuits and Systems (ICCCAS) |
| Date Published | may |
| Keywords | artificial intelligence, artificial intelligence security, Audio detection, composability, Human Behavior, illegal and harmful messages, Image detection, Media, Metrics, Operating systems, pubcrawl, real-time detection, Real-time Systems, resilience, Resiliency, Streaming media, Technological innovation, text detection, video detection, Web and internet services |
| Abstract | In recent years, the detection of illegal and harmful messages which plays an significant role in Internet service is highly valued by the government and society. Although artificial intelligence technology is increasingly applied to actual operating systems, it is still a big challenge to be applied to systems that require high real-time performance. This paper provides a real-time detection system solution based on artificial intelligence technology. We first introduce the background of real-time detection of illegal and harmful messages. Second, we propose a complete set of intelligent detection system schemes for real-time detection, and conduct technical exploration and innovation in the media classification process including detection model optimization, traffic monitoring and automatic configuration algorithm. Finally, we carry out corresponding performance verification. |
| DOI | 10.1109/ICCCAS55266.2022.9825007 |
| Citation Key | zeng_research_2022 |
Research on the Implementation of Real-Time Intelligent Detection for Illegal Messages Based on Artificial Intelligence Technology