Abstract:

Traditional cloud access security monitoring methods can not identify the pseudo characteristics of access data, and the server is vulnerable to storage space constraints, resulting in poor monitoring effect and data confidentiality. In order to detect network attacks and make timely response plans, a virtual machine access security monitoring algorithm based on active energy consumption and idle energy consumption is proposed. Using discrete wavelet transform method to process intrusion information of virtual machine access pages, the data autocorrelation function is obtained, and the amplification factor is the same, which is divided into different aggregation sequences. By calculating the energy consumption of nodes, the energy consumption of active and idle states are obtained, increasing the number of active slots of access path nodes, balancing the network energy load, and extending the network life cycle. A multi angle analysis model of virtual machine network is formed based on the characteristics of network access, its characteristic functions and processing forms are clarified. All virtual machine access effective domain data are obtained, the processor application rate is improved, the time average is calculated, and the security status of virtual machine access is perceived. Experimental results show that the proposed algorithm can monitor the attack situation with lower false positive rate and close to 100% detection accuracy, which is superior to the other two algorithms and proves the effectiveness of the proposed method.

Key words: active energy consumption, idle energy consumption, virtual machine network, access security monitoring, attack information preprocessing