Name
Abstract | ||
|---|---|---|
This paper presents a Danger Theory inspired multi-agent fusion model. Danger Theory is a relative new research subject in Artificial Immune System (AIS). It presents new viewpoint and explains some problems in traditional immune theory. This paper describes the principle of Danger Theory, analyzes the differences between it and traditional theory, and also constructs a multi-agent fusion model for network security assessment. It apply the concepts of Danger Theory to fusion model, such as danger signal, danger zone and Antigen Presenting Cells (APC), which are benefit for multi-agent fusion model. An example is presented to illustrate the operation process of the fusion model. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICNC.2007.17 | ICNC |
Keywords | Field | DocType |
new viewpoint,multi-agent fusion model,antigen presenting cells,relative new research subject,traditional theory,network security assessment,traditional immune theory,danger zone,danger theory,danger signal,fusion model,antigen presenting cell,artificial immune systems,artificial immune system,network security,sensor fusion,multi agent systems,computer networks | Danger zone,Artificial immune system,Computer science,Network security,Telecommunication security,Multi-agent system,Sensor fusion,Artificial intelligence,Machine learning | Conference |
ISBN | Citations | PageRank |
0-7695-2875-9 | 1 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenyu Zhou | 1 | 395 | 44.36 |
| Jianjing Shen | 2 | 1 | 3.72 |
| Xinpeng Zhang | 3 | 2541 | 174.68 |