Network surveillance for detecting intrusions

The paper proposes a network surveillance method for detecting malicious activities. Based on the hypothesis that unusual conducts like system exploitation will trigger an abnormal network traffic, we try to detect this anomalous traffic pattern as a sign of malicious, or at least suspicious activities. Capturing and analyzing of a network traffic pattern is implemented with an idea of port profiling, where measures representing various characteristics of connections are monitored and recorded for each port. Though the generation of the port profiles requires a small amount of calculation, they exhibit high stability and robustness. By comparing the pattern exhibited by live traffic with the expected behavior recorded in the profile, intrusive activities like compromising backdoors or invoking trojan programs are successfully detected.