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Research on Intrusion Detection System based on Data Mining

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DOI: 10.23977/cii2019.52

Author(s)

Jing Liang

Corresponding Author

Jing Liang

ABSTRACT

At present, Internet technology is in a period of rapid development, and people begin to use intelligent devices based on Internet technology frequently in their daily life. More and more people begin to realize the importance of information security. At the same time, the issue of information security has become one of the major research scholars continue to explore and think about. With the progress of science and technology, people gradually found that the traditional security protection technology and firewall technology have been outdated, it has been unable to meet the needs of the current people. Therefore, at present, there is an urgent need for a system that can find security problems in the shortest possible time and report them automatically, which is the intrusion detection system to be discussed in this paper, which can actively detect malicious attacks on the system by a variety of unauthorized objects. Moreover, it can also monitor whether the authorized object has illegal operation behavior, and can organize the intrusion behavior in time. In this paper, the definition and characteristics of data mining and intrusion detection system are described in detail. After that, this paper analyzes the problems existing in the current intrusion detection system, and points out the function and importance of intrusion detection system based on data mining. The author hopes that this paper can give some reference to those scholars who study intrusion detection system, and also hope to contribute to the development of intrusion detection system in the future.

KEYWORDS

Data mining, intrusion detection system, network security

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