APT攻击防御视角下API智能检测系统的构建与实现——以多源流量融合与动态响应机制为核心

Construction and Implementation of an Intelligent API Detection System from the Perspective of APT Attack Defense—Focusing on Multi-Source Traffic Fusion and Dynamic Response Mechanism

摘要: 面向APT攻击的智能检测与主动防御系统设计是一个应用性研究项目，系统的开发和应用是在解决开放式API架构安全威胁、应对APT攻击隐蔽性与长潜伏期难题、提升关键行业API层防护能力等多重因素的推动下进行的。系统使用人工智能与深度学习技术构建，通过利用多源流量采集预处理、CNN-BiLSTM-Attention融合模型、动态响应规则引擎等技术实现APT攻击精准识别、主动防御处置的项目功能。在此基础上保证了B/S架构可视化、毫秒级实时响应、跨场景扩展适配，提升安全管理效率。同时，系统的维护更新操作简便，支持模型迭代与策略优化。提供“检测–决策–处置”闭环防护与可视化态势监控，有助于填补APT攻击防护技术空白，改善关键领域API安全防护水平，促进网络安全与智能技术的融合应用。

Abstract: The design of an intelligent detection and active defense system against Advanced Persistent Threat (APT) attacks is an applied research project. The development and application of the system are driven by multiple factors, including addressing security threats to open API architectures, tackling the challenges of APT attacks’ concealment and long latency, and enhancing API-layer protection capabilities in key industries. The system is built using artificial intelligence and deep learning technologies. It achieves the project functions of accurate APT attack identification and active defense disposal by leveraging technologies such as multi-source traffic collection and preprocessing, a CNN-BiLSTM-Attention integrated model, and a dynamic response rule engine. On this basis, the system ensures B/S architecture visualization, millisecond-level real-time response, and cross-scenario expansion and adaptation, thereby improving security management efficiency. Meanwhile, the system features simple maintenance and update operations, and supports model iteration and strategy optimization. It provides a closed-loop protection of “detection-decision-disposal” and visualized situation monitoring, which helps fill the technical gap in APT attack protection, improve the API security protection level in key fields, and promote the integrated application of network security and intelligent technologies.