Discussion on the Nonlinear Dynamics of Antibody Number in the Antibody Concentration Inspired Network Security Detection Method

2010 ◽  
Author(s):  
Hui Zhao ◽  
Wen Chen ◽  
Chieh Tsang
Keyword(s):  
Nonlinear Dynamics ◽  
Network Security ◽  
Detection Method ◽  
Antibody Concentration

An Intelligent Detection Method for Network Security

2014 ◽  
Vol 530-531 ◽  
pp. 646-649
Author(s):  
Ling Qiu ◽  
Cai Ming Liu
Keyword(s):  
Network Security ◽  
Immune Cells ◽  
Detection Method ◽  
Network Data ◽  
Network Attacks ◽  
Detection Ability ◽  
Intelligent Detection ◽  
Network Administrators ◽  
Ip Packets

To dynamically discover network attacks hidden in network data, an intelligent detection method for network security is proposed. Biological immune principles and mechanisms are adopted to judge whether network data contain illegal network packets. Signature library of network attacks and section library of attack signatures are constructed. They store attack signatures and signature sections, respectively. They are used to make the initial detection ability of proposed method. Detectors are defined to simulate immune cells. They evolve dynamically to adapt the network security. Signatures of network data are extracted from IP packets. Detectors match network data's signatures which mean some attacks. Warning information is formed and sent to network administrators according to recognized attacks.

scholarly journals Survey paper on intrusion detection techniques

2013 ◽  
Vol 6 (2) ◽  
pp. 329-335
Author(s):  
Rachna Kulhare ◽  
Dr. Divakar Singh
Keyword(s):  
Network Security ◽  
Intrusion Detection ◽  
Detection Rate ◽  
Computer Network ◽  
Detection Method ◽  
Detection Techniques ◽  
Survey Paper ◽  
Secure Information ◽  
Important Field ◽  
Computer Network Management

Network security has been one of the most important problems in Computer Network Management and Intrusion is the most publicized threats to security. In recent years, intrusion detection has emerged as an important field for network security. IDSs obtain better results when each class ofattacks is treated as a separate problem and handled by specialized algorithms. Now in days various model and method are available for intrusion detection. In this paper, we present a study of intrusion detection. Detection method to improve the detection rate & helping the users to develop secure information systems.

Research of Botnet Base on P2P Protocol

2013 ◽  
Vol 860-863 ◽  
pp. 2758-2761
Author(s):  
Yue Li ◽  
Ya Qin Fan ◽  
Duo Yang ◽  
Kai Yuan Zheng
Keyword(s):  
Network Security ◽  
Detection Method ◽  
Propagation Model ◽  
Detection Technique ◽  
P2p Network ◽  
Communication Model ◽  
Flow Detection ◽  
Important Significance

Because the model of Botnet posed a threat to the network security, so this paper studies the semi distributed P2P network. Base on this, we simulate the propagation model of semi distributed P2P network and obtained a more conform to the actual status's new communication model. Through the analysis of the result, we prove the effectiveness of the honeypot detection method and flow detection method. Pseudo honeypot" detection technique model is based on the first two detection, we also simulate it and get a desired result. The conclusion has important significance for the study of network security.

A Network Intrusion Detection Method Inspired by Biological Immunology

2010 ◽  
Vol 121-122 ◽  
pp. 482-485
Author(s):  
Rong Deng ◽  
Xiu Yin Zhang
Keyword(s):  
Intrusion Detection ◽  
Detection Method ◽  
Network Intrusion Detection ◽  
Antibody Concentration ◽  
Traffic Patterns ◽  
Immune Systems ◽  
Detection Model ◽  
Network Intrusion ◽  
Proposed Model ◽  
Dynamic Relationships

In this article an Immune Based Intrusion Detection Model (IBIDM) was built to simulate the dynamic relationships between the intrusion antigen intensity and the antibody concentration in the biological immune systems. In IBIDM, traditional detection rules and network traffic patterns are mapped to antibodies and antigens respectively. The network security situation is presented in the form of detector numbers to help reduce false alarm rate. Computer simulations show that the proposed model is effective for intrusion detection.

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