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Network Environment Learning (NEL) Phase for Covert Channels (with a Feedback Channel)

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Network Environment Learning (NEL) Phase for Covert Channels (incl. a Feedback Channel and Warden Simulator).

In Network Steganography research, a covert channel is a stealthy communication channel. Some covert channels are capable of performing a so-called Network Environment Learning phase (or: NEL phase). Such covert channels can determine how data can be covertly exchanged in a way that countermeasures (firewalls, traffic normalizers, active wardens) can be bypassed.

For instance, a typical covert channel technique is to embed secret data in reserved or unused bits of protocol headers. A typical firewall filter could simply clear the bit to prevent such a covert channel. During the NEL phase, communicating covert channel peers can determine such a filter rule and switch to alternative covert channels.

Although the NEL phase was originally discussed in academia about ten years ago, no implementation was made available by other researchers. With NEL, we provide the first public implementation of a NEL phase on the basis of scapy and libpcap. In addition, NEL can simulate the influence of regular (static), dynamic and adaptive wardens on the NEL phase. NEL is written in C and runs best under Linux.

Requirements:

  • Scapy must be installed
  • gcc and make
  • pcap library, incl. libpcap-dev, must be installed
  • pthreads library

Documentation: Please have a look at the documentation.

My open online class on Network Covert Channels: available here.

Other Covert Channel Tools: See my repository on network covert channel tools.

Feedback: Please send requests and feedback to the author (Steffen Wendzel).