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当今网络中,垃圾邮件已成为一个严重的问题.该文作者提出了一种基于指纹向量的自适应垃圾邮件过滤方法.该方法中,每封邮件由一个指纹向量表示,两个邮件如果指纹向量的距离较小,则认为其属于同一个类别.该文设计了适合于大规模垃圾信息检测的快速匹配算法,该算法可自动更新已知垃圾邮件的指纹向量表.实际邮件服务器上的实验结果验证了所提出方法的有效性.“,”Spam has become one of the severest problems for today's network systems. In this paper, we present an adaptive spam filtering mechanism based on message fingerprinting. In our mechanism, each message is represented by a fingerprint vector, and two messages with a short distance in their fingerprint vectors are considered as variants of each other. We present methods for fast matching a query message against a huge list of known spam messages, and methods for adaptive updating of the fingerprint vectors of known spam messages. Experiments on real spam data demonstrate the effectiveness of the proposed method.