SSH attacks are a main area of concern for network managers, due to the danger associated with a successful compromise. Detecting these attacks, and possibly compromised victims, is therefore a crucial activity. Most existing network intrusion detection systems designed for this purpose rely on the inspection of individual packets and, hence, do not scale to today's high-speed networks. To overcome this issue, this paper proposes SSHCure, a flow-based intrusion detection system for SSH attacks. It employs an efficient algorithm for the real-time detection of ongoing attacks and allows identification of compromised attack targets. A prototype implementation of the algorithm, including a graphical user interface, is implemented as a plugin for the popular NfSen monitoring tool. Finally, the detection performance of the system is validated with empirical traffic data.
|Name||Lecture Notes in Computer Science|
|Conference||6th International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2012|
|Period||4/06/12 → 8/06/12|
|Other||4-8 June 2012|
- EC Grant Agreement nr.: FP7/257513