Skip to content

The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.

InfoResearchPeer-reviewed

Memristive Hopfield Bi-Neurons Under External Stimuli and Data Privacy Application

Published
Record updated

Summary

Researchers studied memristive Hopfield bi-neurons under electromagnetic radiation and stimulating currents, finding stable, unstable, limit-cycle and multi-scroll chaotic states. A digital hardware device reproduced these patterns. The chaotic sequences were then used with compressive sensing to compress and encrypt biomedical images, which the authors report is robust against various attacks with a high key space.