The Designation of Bio-Inspired Intrusion Detection System Model in Cloud Computing Based on Machine Learning
Yufei Ge, Hong Liang, Lin Chen, Qian Zhang
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.346How to use a DOI?
- Intrusion Detection System; Bio-Inspired; Dendritic Cell Algorithm; Cloud Computing; Model Designation
- The paper proposed a new model by applying bio-inspired theory into intrusion detection system in cloud computing. Dendritic Cell algorithm (DCA) based on Danger Theory get involved in the model designation in allusion to the existing problem, high false negative rate, low detection efficiency, low real-time process, and lack of adaptive of the unknown aggressive behavior for nowadays detection mechanisms. Combing the pertinent knowledge of machine learning theory, then to design one improved bio-inspired intrusion detection system model in cloud computing based on machine learning. Finally we introduce our system module as well as the detailed work processes.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yufei Ge AU - Hong Liang AU - Lin Chen AU - Qian Zhang PY - 2015/04 DA - 2015/04 TI - The Designation of Bio-Inspired Intrusion Detection System Model in Cloud Computing Based on Machine Learning BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.346 DO - https://doi.org/10.2991/amcce-15.2015.346 ID - Ge2015/04 ER -