Model Simulation for Intrusion Detection of Cloud Computing Network under Large Data Environments
Song Wen-cha · Science and Technology of West China · 2015
Cloud computing network is vulnerable to attacks due to the openness and self-organization of information interaction. We put forward an intrusion detection model based on artificial immunizing network security analysis. By simulating human body's immune system, network mapping and double linear Hough transform were applied to improve the algorithm. The simulation results showed that the model can effectively improve the detection performance of cloud computing network intrusion, with a high recognition rate of attack characteristics.