Unknown Protocol Bit Stream Classification Study Based on Biometric Matching
In the development of modern information network environment, the wireless network is susceptible to attack, especially theft behavior has a proprietary protocol or unknown protocol, in order to meet the demand for the use of the network security, proposes an unknown protocol biometric matching bit stream data classification method based on. The extraction of fingerprint minutiae, then the minutiae alignment, matching minutiae, defining unknown protocol data transmission on the network of rules; an unknown protocol bit stream data classification is the key, through the application of optimization algorithm for feature data frame selection, classification and analysis to compare. The purpose of stream data classification using clustering algorithm. The experimental results show that the identification authentication based on biometric authentication is the basis of the limited rules, so that the unknown protocol bit stream data can effectively classify the data to ensure the wireless network environment.
NETL
NSTL
万方数据
维普
