This server-side mechanism USES a self-learning model based on a voting system.
这种服务器端机制使用基于投票系统的自主学习模型。
A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.
提出了一种基于归纳推理的动态自学习的高效入侵检测模型。
The model with the functions of self-learning and self-completing can detect the known and novel intrusion activities.
该模型可以发现已知的和未知的滥用入侵和异常入侵活动，具有自学习、自完善功能。
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