Title :
Research of intrusion detection system based on machine learning
Author :
Jun, Ma ; Shuqian, Feng
Author_Institution :
Coll. of Inf. Sci. & Eng., Jiao Zuo Univ., Jiao Zuo, China
Abstract :
Through the study of the existing intrusion detection system, this paper presents the idea of applying the machine learning methods in the intrusion detection system, establishes a learning-based intrusion detection system model, gives the framework of the system and the main process steps, and designs and tests the machine learning module in it to achieve the learning-based intrusion detection system.
Keywords :
learning (artificial intelligence); security of data; learning-based intrusion detection system model; machine learning methods; machine learning module; Computer hacking; Computer networks; Computer security; Data mining; Face detection; Information security; Intrusion detection; Machine learning; Protection; Spatial databases; intrusion detection; machine learning; network security;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485703
