The Designation of Bio-Inspired Intrusion Detection System Model in Cloud Computing Based on Machine Learning

DOI

10.2991/amcce-15.2015.346How to use a DOI?

Keywords

Intrusion Detection System; Bio-Inspired; Dendritic Cell Algorithm; Cloud Computing; Model Designation

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/amcce-15.2015.346
ID  - Ge2015/04
ER  -