Cooperating Attackers in Neural Cryptography

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1103/PhysRevE.69.066137

A new and successful attack strategy in neural cryptography is presented. The neural cryptosystem, based on synchronization of neural networks by mutual learning, has been recently shown to be secure under different attack strategies. The advanced attacker presented here, named the ``Majority-Flipping Attacker'', is the first whose success does not decay with the parameters of the model. This new attacker's outstanding success is due to its using a group of attackers which cooperate throughout the synchronization process, unlike any other attack strategy known. An analytical description of this attack is also presented, and fits the results of simulations.

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

Cooperating Attackers in Neural Cryptography 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 Cooperating Attackers in Neural Cryptography, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Cooperating Attackers in Neural Cryptography will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-687764

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