UCLog: A unified, correlated logging architecture for intrusion detection

Activity logs can be used for intrusion detection; however, most previous work on intrusion detection examines only activity logs from a single component. Doing so fails to take advantage of the naturally existing correlations among activities in di#erent types of logs, such as network logs and system call logs. This paper explores correlation for intrusion detection. Specifically, we unified logging architecture that can effectively capture correlations among entries in different types of logs. UCLog enables the intrusion detection system to make some sense of the myriad of different available logs and correlate the information the logs present to enhance the intrusion detection process. We have evaluated UCLog by using it to detect the infection of a host with the Yaha virus. Our results show significant improvement when the information available in several logs is correlated