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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hai Huang Dongqing Xie |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Math. & Inf. Sci., Guangzhou Univ., Guangzhou, China (Hai Huang) || Sch. of Comput. Sci. & Educ. Software, Guangzhou Univ., Guangzhou, China (Dongqing Xie) |
| Abstract | Real-time network danger evaluation is the crucial technology of network security. To effectively evaluate the real-time network danger, a novel real-time network risk evaluation paradigm, inspired by immune (referred to as Reapai) is proposed. The intrusion detection sub-model is given firstly by using the definitions of non-self, self, and detector, which is composed by memory detectors, mature detectors, and immature detectors. Then, we propose the immune danger theory based on a sub-model of real-time network risk evaluation. For the proposed model, each class of network attack, including holistic risks of the host and network, can be calculated in real time and quantification ally. The theoretical analysis and the results of experiments show that the proposed Reapai provides a novel and effective approach for network risk evaluation. |
| Starting Page | 786 |
| Ending Page | 790 |
| File Size | 328989 |
| Page Count | 5 |
| File Format | |
| ISSN | 21579563 |
| e-ISBN | 9781467376792 |
| DOI | 10.1109/ICNC.2015.7378091 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intrusion detection Detectors Realtime network evaluation Real-time systems danger theory Bayes methods Communication networks Immune system artificial immune system |
| Content Type | Text |
| Resource Type | Article |
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