Title :
HIDS-DT: An Effective Hybrid Intrusion Detection System Based on Decision Tree
Author :
Yang, Jie ; Chen, Xin ; Xiang, Xudong ; Wan, Jianxiong
Author_Institution :
Dept. of Inf. Security, Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
A hybrid intrusion detection approach combing both misuse detection and anomaly detection can detect newly discovered attacks while maintaining a relatively high detection rate. This paper presents a novel hybrid intrusion detection system based on protocol analysis and decision tree algorithms. Performance evaluation of the proposed system is conducted using Generalized Stochastic Petri Nets (GSPN). Simulation results show that this hybrid system can reach a high detection rate.
Keywords :
Petri nets; decision trees; security of data; HIDS-DT; anomaly detection; decision tree algorithms; generalized stochastic Petri nets; hybrid intrusion detection system; misuse detection; performance evaluation; protocol analysis; Computer networks; Decision trees; Intrusion detection; Mobile communication; Pattern matching; Petri nets; Space technology; Stochastic systems; TCPIP; Transport protocols; Decision Tree; Generalized Stochastic Petri Net; Hybrid Intrusion Detection Model; Protocol Analysis;
Conference_Titel :
Communications and Mobile Computing (CMC), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6327-5
Electronic_ISBN :
978-1-4244-6328-2
DOI :
10.1109/CMC.2010.73
