Agent-Based Real Time Intrusion Detection System Against Malformed Packet Attacks

Author(s):  
Jun-Cheol Jeon ◽  
Eun-Yeung Choi ◽  
Kee-Young Yoo
2015 ◽  
Vol 113 (12) ◽  
pp. 33-40
Author(s):  
Abhijit Dwivedi ◽  
Y.K.Rana Y.K.Rana ◽  
B.P.Patel B.P.Patel

Author(s):  
Tarek Helmy

The system that monitors the events occurring in a computer system or a network and analyzes the events for sign of intrusions is known as intrusion detection system. The performance of the intrusion detection system can be improved by combing anomaly and misuse analysis. This chapter proposes an ensemble multi-agent-based intrusion detection model. The proposed model combines anomaly, misuse, and host-based detection analysis. The agents in the proposed model use rules to check for intrusions, and adopt machine learning algorithms to recognize unknown actions, to update or create new rules automatically. Each agent in the proposed model encapsulates a specific classification technique, and gives its belief about any packet event in the network. These agents collaborate to determine the decision about any event, have the ability to generalize, and to detect novel attacks. Empirical results indicate that the proposed model is efficient, and outperforms other intrusion detection models.


2020 ◽  
Vol 97 ◽  
pp. 101984 ◽  
Author(s):  
Dongzi Jin ◽  
Yiqin Lu ◽  
Jiancheng Qin ◽  
Zhe Cheng ◽  
Zhongshu Mao

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