Cross-Level Behavioral Analysis for Robust Early Intrusion Detection
Source: National Taiwan University
The authors anticipate future attacks would evolve to become more sophisticated to outwit existing intrusion detection techniques. Existing anomaly analysis techniques and signature-based detection practices can no longer effective. They believe Intrusion Detection Systems (IDSs) of the future will need to be capable to detect or infer attacks based on more valuable information from the network-related properties and characteristics. The authors observed that even though the signatures or traffic patterns of future steal-thy attacks can be modified to outwit current IDSs, certain behavioral aspects of an attack are invariant.