Flow-based approaches for SSH intrusion detection have been developed to overcome the scalability issues of host-based alternatives. Although the detection of many SSH attacks in a flow-based fashion is fairly straightforward, no insight is typically provided in whether an attack was successful. We address this shortcoming by presenting a detection algorithm for the flow-based detection of compromises, i.e., hosts that have been compromised during an attack. Our algorithm has been implemented as part of our open-source IDS SSHCure and validated using almost 100 servers, workstations and honeypots, featuring an accuracy close to 100%.
原文链接
分享
引用
