现代网络钓鱼工具包中集成的反机器人、地理围栏及行为生物特征分析等高级规避技术,标志着网络攻击已进入“隐形战争”时代。这些技术通过多维度的身份验证机制,有效地屏蔽了传统的自动化扫描与蜜罐监测,导致威胁情报的获取滞后,极大地增加了防御难度。本文通过对这些规避技术的深度解构,揭示了其依赖环境感知与行为判别的核心逻辑。
While Anthropic’s Claude Code grabbed headlines, IBM has been deploying its own generative AI solution, Watsonx Code Assistant for Z, designed to modernize the very mainframes it built. Unlike general ...
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Abstract: Real-time semantic segmentation plays an important role in auto vehicles. However, most real-time small object segmentation methods fail to obtain satisfactory performance on small objects, ...
Two months after .NET 10.0, Microsoft starts preview series for version 11, primarily with innovations in the web frontend ...
Abstract: Multi-class multi-object tracking is an important problem for real-world applications like surveillance system, gesture recognition, and robot vision system. However, building a multi-class ...