1st International ICST Workshop on Knowledge Discovery and Data Mining

Research Article

A novel Network Intrusion Detection System (NIDS) based on signatures search of data mining

  • @INPROCEEDINGS{10.4108/wkdd.2008.2686,
        author={Hu Zhengbing and Li Zhitang and Wu Junqi},
        title={A novel Network Intrusion Detection System (NIDS) based on signatures search of data mining},
        proceedings={1st International ICST Workshop on Knowledge Discovery and Data Mining},
        publisher={ACM},
        proceedings_a={WKDD},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/wkdd.2008.2686}
    }
    
  • Hu Zhengbing
    Li Zhitang
    Wu Junqi
    Year: 2010
    A novel Network Intrusion Detection System (NIDS) based on signatures search of data mining
    WKDD
    ACM
    DOI: 10.4108/wkdd.2008.2686
Hu Zhengbing1,2,*, Li Zhitang1, Wu Junqi2,*
  • 1: Huazhong University of Science and Technology, College of Computer Science and Technology
  • 2: Huazhong Normal University, Department of Information Technology
*Contact email: kievpastor@hotmail.com, kievkpi@hotmail.com

Abstract

Network security has been a very important issue, since the rising evolution of the Internet. There has been an increasing need for security systems against the external attacks from the hackers. One important type is the Intrusion Detection System (IDS). There are two major categories of the analysis techniques of IDS: the anomaly detection and the misuse detection.Here we forcus on misuse detection, the misuse detection collected the attack signatures in a database as the same as virus protection software to detect the relate attacks. we propose an algorithm to use the known signature to find the signature of the related attack quickly.