Real Time Identification of SSH Encrypted Application Flows by Using Cluster Analysis Techniques

By Gianluca Maiolini, Andrea Baiocchi, Alfonso Iacovazzi, Antonello Rizzi. 2009

32 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

How researchers see this paper

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In Computer Networks and Communications

1. Pavel Čeleda
2. Milan Cermák
3. Martin Drašar
4. P. Velan

Citations in the corpus

• A survey of methods for encrypted traffic classification and analysis (2015, methodology): “[56] take the classification one step further and identify the type of traffic encapsulated in an SSH connection.”