Data Mining For Network Intrusion Detection

• Main Authors: Li-Yu Ma, 馬莉芋
• Other Authors: Yue-Shi Lee
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/a98a4f

碩士 === 銘傳大學 === 資訊管理學系碩士班 === 93 === According to survey of CERT, the rate of cyber attacks has been more than doubling every year in recent times. It has become increasingly important to make our information systems safely. The huge and variable information of network couldn’t be determined by human. And the hacker always can find new way of attack. How could we find this connect is attack or not? And stop it before being attacked. We use DARPA data set and data mining technology training kind of attack model. In the testing data set head, it includes new attack behaviors which never appear in the training data set to ensure our network intrusion model effective making information systems of corporation safely.