CAJ | 학술논문

为了解决现有的入侵检测系统响应网络环境慢、需要较多人工干预的局限,采用智能体技术和聚类分析设计一种新的网络入侵检测方法.使用智能体技术实现入侵检测系统的分布式设计,利用分层的控制智能体实现入侵检测系统的自主控制,同时使用基于模糊 C 均值算法的数据挖掘技术对网络数据进行检测分析,并利用加权算法对模糊 C 均值算法进行改进,提高系统的检测能力.结果表明,该系统能够减少人工干预,对网络环境响应较快,入侵检测性能也得到了提高.
위료해결현유적입침검측계통향응망락배경만、수요교다인공간예적국한,채용지능체기술화취류분석설계일충신적망락입침검측방법.사용지능체기술실현입침검측계통적분포식설계,이용분층적공제지능체실현입침검측계통적자주공제,동시사용기우모호 C 균치산법적수거알굴기술대망락수거진행검측분석,병이용가권산법대모호 C 균치산법진행개진,제고계통적검측능력.결과표명,해계통능구감소인공간예,대망락배경향응교쾌,입침검측성능야득도료제고.
@@@@In order to solve the limitations of slow network response and more manual intervention in the existing intrusion detection system ,a new method of network intrusion detection is proposed based on agent technology and clustering analysis .The distributed intrusion detection system is designed with the agent technology ,in which the system is self - controlled by the hierarchical control agent ,and the data analysis of network is achieved through data mining technique based on fuzzy C‐means algorithm (FCM ) . The weighted algorithm is used in the FCM algorithm for the improvement of the system detection capabilities . The results show that the system is able to reduce manual intervention ,achieve faster response for the network environment ,and improve the performance of the intrusion detection .