New! Sign up for our free email newsletter.
Science News
from research organizations

An AI message decoder based on bacterial growth patterns

New encryption method uses simulated bacterial growth based on specific initial conditions to form patterns corresponding to letters

Date:
September 23, 2022
Source:
Duke University
Summary:
Depending on the initial conditions used, such as nutrient levels and space constraints, bacteria tend to grow in specific ways. Researchers have created a new type of encryption scheme based on how a virtual bacterial colony grows with specific initial conditions.
Share:
FULL STORY

From a box of Cracker Jack to The Da Vinci Code, everybody enjoys deciphering secret messages. But biomedical engineers at Duke University have taken the decoder ring to place it's never been before -- the patterns created by bacterial colonies.

Depending on the initial conditions used, such as nutrient levels and space constraints, bacteria tend to grow in specific ways. The researchers created a virtual bacterial colony and then controlled growth conditions and the numbers and sizes of simulated bacterial dots to create an entire alphabet based on how the colonies would look after they fill a virtual Petri dish. They call this encoding scheme emorfi.

The encoding is not one-to-one, as the final simulated pattern corresponding to each letter is not exactly the same every time. However, the researchers discovered that a machine learning program could learn to distinguish between them to recognize the letter intended.

"A friend may see many images of me over the course of time, but none of them will be exactly the same," explained Lingchong You, professor of biomedical engineering at Duke. "But if the images are all consistently reinforcing what I generally look like, the friend will be able to recognize me even if they're shown a picture of me they've never seen before."

To encrypt real messages, the encoder ends up creating a movie of a series of patterns, each correlating to a different letter. While they may look similar to the untrained eye, the computer algorithm can distinguish between them. So long as the receiver knows the set of initial conditions that led to their creation, an interloper should not be able to crack the code without a powerful AI of their own.

Give the cypher a try yourself. You can type in anything from your name to the Gettysburg Address, or even the Christmas classic, "Be sure to drink your Ovaltine":

https://www.patternencoder.com/

This research was supported by the National Science Foundation (MCB-1937259), the Office of Naval Research (N00014-20-1-2121), the David and Lucile Packard Foundation and the Google Cloud Research Credits program.


Story Source:

Materials provided by Duke University. Original written by Ken Kingery. Note: Content may be edited for style and length.


Journal Reference:

  1. Jia Lu, Ryan Tsoi, Nan Luo, Yuanchi Ha, Shangying Wang, Minjun Kwak, Yasa Baig, Nicole Moiseyev, Shari Tian, Alison Zhang, Neil Zhenqiang Gong, Lingchong You. Distributed information encoding and decoding using self-organized spatial patterns. Patterns, 2022; 100590 DOI: 10.1016/j.patter.2022.100590

Cite This Page:

Duke University. "An AI message decoder based on bacterial growth patterns." ScienceDaily. ScienceDaily, 23 September 2022. <www.sciencedaily.com/releases/2022/09/220923132133.htm>.
Duke University. (2022, September 23). An AI message decoder based on bacterial growth patterns. ScienceDaily. Retrieved November 21, 2024 from www.sciencedaily.com/releases/2022/09/220923132133.htm
Duke University. "An AI message decoder based on bacterial growth patterns." ScienceDaily. www.sciencedaily.com/releases/2022/09/220923132133.htm (accessed November 21, 2024).

Explore More

from ScienceDaily

RELATED STORIES