A Dendritic Cell Algorithm for real-time anomaly detection
| العنوان: | A Dendritic Cell Algorithm for real-time anomaly detection |
|---|---|
| المؤلفون: | Song Yuan, Qi-juan Chen |
| المصدر: | 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). |
| بيانات النشر: | IEEE, 2012. |
| سنة النشر: | 2012 |
| مصطلحات موضوعية: | Computer science, Artificial immune system, Process (computing), Anomaly detection, Temporal correlation, Interference (wave propagation), Dendritic cell algorithm, Algorithm, Signal, Classical Dendritic Cell |
| الوصف: | The analysis process of the classical Dendritic Cell Algorithm (DCA) is performed offline, which has constrained its application in the area of anomaly detection. In order to continuously detect abnormal behaviors as soon as they occur, a real-time analysis algorithm is proposed, when an antigen has been presented by sufficient dendritic cells, it will be immediately output and assessed, thus the purpose of real-time or near-to real-time analysis can be achieved. Sufficient assessments will reduce the influence of the errors, and the antigen and signal pool of temporal correlation will eliminate the mutual interference of the antigens and signals, which are far apart. The results of the experiments show that the realtime analysis algorithm proposed has the considerable detection accuracy. |
| DOI: | 10.1109/csae.2012.6272635 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::7d27134593c291fbc2f874c5d3629499 https://doi.org/10.1109/csae.2012.6272635 |
| رقم الانضمام: | edsair.doi...........7d27134593c291fbc2f874c5d3629499 |
| قاعدة البيانات: | OpenAIRE |
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