08.08.2013 Views

Chapter 3 Time-to-live Covert Channels - CAIA

Chapter 3 Time-to-live Covert Channels - CAIA

Chapter 3 Time-to-live Covert Channels - CAIA

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Throughput (bits/s)<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

0.0 0.1 0.2 0.3 0.4 0.5<br />

Packet reordering (%)<br />

CHAPTER 3. TIME-TO-LIVE COVERT CHANNELS<br />

MED<br />

AMI<br />

DED<br />

Throughput (kbits/s)<br />

8<br />

6<br />

4<br />

2<br />

0<br />

0.0 0.1 0.2 0.3 0.4 0.5<br />

Packet reordering (%)<br />

Figure 3.23: Throughput depending on packet reordering for <strong>CAIA</strong> (left) and Leipzig (right)<br />

for 0.1% packet loss<br />

Capacity percentage<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

l=0,<br />

r=0<br />

l=0.1,<br />

r=0<br />

l=0.5,<br />

r=0<br />

l=1.0,<br />

r=0<br />

Packet loss (l) and reordering (r) (%)<br />

l=0.1,<br />

r=0.1<br />

MED0<br />

AMI<br />

DED<br />

MED<br />

Figure 3.24: Percentage of capacity reached for the different modulation schemes and the<br />

different packet loss and reordering settings averaged across all traces<br />

We also measured the average block decoding speed of the receiver, which is defined<br />

as the length of a data block in bytes divided by the average decoding time of blocks. The<br />

differences between different modulation schemes are negligible, but there are significant<br />

differences between the different traces. The results show that even for the experiments<br />

with the highest error rate the decoder is still much faster than the actual throughput of<br />

the channel (see Appendix B.9).<br />

3.5.6 Throughput – testbed experiments<br />

In the testbed experiments we measured the throughput of the covert channel across a<br />

real network for different types of overt traffic. The covert channel was encoded in a<br />

single overt traffic flow. This setup is representative for a scenario where the overt traffic<br />

68<br />

l=0.1,<br />

r=0.5<br />

MED<br />

AMI<br />

DED

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!