用边缘智能代理系统实时防护未成年人免受网络诱骗
EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces
- 在网关部署多智能体系统，实现低延迟内容检测
- 实验表明对网络诱骗的检测效果显著优于现有方法
- 适合需要实时保护未成年人的社交平台使用
社交媒体已成为未成年人日常生活的重要组成部分，用于交友、探索共同兴趣及参与教育活动。然而，屏幕时间增加也带来了更高的风险，包括网络欺凌、在线诱骗和恶意行为者的剥削。传统内容审核技术难以应对攻击者不断演变的策略。为此，我们提出EdgeAIGuard内容审核方法，旨在保护未成年人免受在线诱骗和各类数字剥削。该方法采用部署在网络边缘的多智能体架构，实现快速检测与低延迟响应，有效阻止针对未成年人的有害内容。实验结果表明，所提方法在检测性能上显著优于现有方案。
原文摘要 · Abstract (English)
Social media has become integral to minors' daily lives and is used for various purposes, such as making friends, exploring shared interests, and engaging in educational activities. However, the increase in screen time has also led to heightened challenges, including cyberbullying, online grooming, and exploitations posed by malicious actors. Traditional content moderation techniques have proven ineffective against exploiters' evolving tactics. To address these growing challenges, we propose the EdgeAIGuard content moderation approach that is designed to protect minors from online grooming and various forms of digital exploitation. The proposed method comprises a multi-agent architecture deployed strategically at the network edge to enable rapid detection with low latency and prevent harmful content targeting minors. The experimental results show the proposed method is significantly more effective than the existing approaches.
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