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个性化智能安全中面向正示例的自组织聚类学习
引用本文:李枚毅,宋凌,蔡自兴. 个性化智能安全中面向正示例的自组织聚类学习[J]. 郑州大学学报(理学版), 2006, 38(4): 78-82
作者姓名:李枚毅  宋凌  蔡自兴
作者单位:1. 湘潭大学信息工程学院,湖南,湘潭,411105
2. 中南大学信息科学与工程学院,长沙,410083
基金项目:湘潭大学博士基金,编号05QDZ23
摘    要:针对个性化智能安全服务的需要,提出了一种新的个性化智能安全服务范式,并为此构造了面向正示例的自组织聚类学习器作为这类服务范式的核心技术,然后对提出的学习算法进行了入侵检测实验及分析.

关 键 词:个性化智能安全服务  面向正示例学习  不分明性
文章编号:1671-6841(2006)04-0078-05
收稿时间:2006-05-01
修稿时间:2006-05-01

Positive-case Oriented Self-organization Cluster Learning in Personalized Intelligent Computer Security Servers
LI Mei-yi,SONG Ling,CAI Zi-xing. Positive-case Oriented Self-organization Cluster Learning in Personalized Intelligent Computer Security Servers[J]. Journal of Zhengzhou University(Natrual Science Edition), 2006, 38(4): 78-82
Authors:LI Mei-yi  SONG Ling  CAI Zi-xing
Affiliation:1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China; 2. College of Information Science and Engineering , Central South University, Changsha 410083, China
Abstract:A new model of personalized intelligent computer security servers has been proposed as personalized intelligent computer security servers become a great demand of computer users.A learner of positive-case oriented self-organization cluster learning has been constructed.The learner is the key component of the model.Then the learning algorithm is analyzed by means of intrusion detection experiments.
Keywords:personalized intelligent computer security server  positive-case oriented learning  ambiguity and uncertainty
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