Square Root Law for Communication with Low Probability of Detection on AWGN Channels

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We present a square root limit on low probability of detection (LPD) communication over additive white Gaussian noise (AWGN) channels. Specifically, if a warden has an AWGN channel to the transmitter with non-zero noise power, we prove that $o(\sqrt{n})$ bits can be sent from the transmitter to the receiver in $n$ AWGN channel uses with probability of detection by the warden less than $\epsilon$ for any $\epsilon>0$. Moreover, in most practical scenarios, a lower bound on the noise power on the warden's channel to the transmitter is known and $O(\sqrt{n})$ bits can be covertly sent in $n$ channel uses. Conversely, attempting to transmit more than $O(\sqrt{n})$ bits either results in detection by the warden with probability one or a non-zero probability of decoding error as $n\rightarrow\infty$. Further, we show that LPD communication on the AWGN channel allows one to send a non-zero symbol on \emph{every} channel use, in contrast to what might be expected from the square root law found recently in image-based steganography.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Square Root Law for Communication with Low Probability of Detection on AWGN Channels does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Square Root Law for Communication with Low Probability of Detection on AWGN Channels, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Square Root Law for Communication with Low Probability of Detection on AWGN Channels will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-523310

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.