With the arrival and development of big data era, the security data in the network has the characteristics of massive quantity, data source diversification, fast growth and high complexity, which leads to the fact that traditional network malicious behavior detection method cannot be applied to current network malicious behavior analysis and detection.In order to solve this problem, the analysis of network malicious behavior and feature association based on big-data is proposed.Through the study of multi-source data analysis technology and security situational awareness under the big-data platform, we use the intrusion detection, association analysis and situational awareness to make early warning and defense of the network environment.Finally, a malicious behavior verification system based on big-data platform is designed and constructed.