Science News
from research organizations

QR codes with advanced imaging and photon encryption protect computer chips

Date:
February 27, 2015
Source:
University of Connecticut
Summary:
Engineers have taken the ordinary QR code and transformed it into a high-end cybersecurity application that can protect the integrity of computer chips using advanced optical imaging and photon-based encryption.
Share:
FULL STORY

A 3.15 mm QR code storing an encrypted and compressed image shown placed on an integrated circuit and an image of the QR code placed next to a dime.
Credit: Courtesy of Adam Markman/Brhram Javidi

QR, or Quick Response, codes -- those commonly black and white boxes that people scan with a smartphone to learn more about something -- have been used to convey information about everything from cereals to cars and new homes.

But, University of Connecticut (UConn) researchers think the codes have a greater potential: protecting national security.

Using advanced 3-D optical imaging and extremely low light photon counting encryption, Board of Trustees Distinguished Professor Bahram Javidi and his research team have taken the ordinary QR code and transformed it into a high-end cybersecurity application that can be used to protect the integrity of computer microchips. The findings were published in IEEE Photonics Journal.

"An optical code or QR code can be manufactured in such a way that it is very difficult to duplicate," said Javidi, whose team is part of UConn's Center for Hardware Assurance, Security, and Engineering (CHASE) in the School of Engineering. "But if you have the right keys, not only can you authenticate the chip, but you can also learn detailed information about the chip and what its specifications are.

"And, that is important to the person using it."

Corrupted and recycled integrated circuits or microchips posed a significant threat to the international electronics supply chain. Bogus or used computer chips may not matter much when they cause poor cell phone reception or an occasional laptop computer crash in personal use. But the problem becomes exponentially more serious when counterfeit or hacked chips turn up in the U.S. military.

The problem has been exacerbated in recent years by the fact that much of the national production of microcircuits has moved offshore, where prices are lower but ensuring quality control is more difficult.

In 2012, a Senate Armed Services Committee report found that more than 100 cases of suspected counterfeit electronics parts from China had made their way into the Department of Defense supply chain. In one notable example, officials said counterfeit circuits were used in a high-altitude missile meant to destroy incoming missiles. Fixing the problem cost the government $2.675 million, the report said.

Unlike commercial QR codes, Javidi's little black and white boxes can be scaled as small as microns or a few millimeters and would replace the electronic part number that is currently stamped on most microchips.

Javidi says he can compress vital information about a chip -- its functionality, capacity, and part number -- directly into the QR code so it can be obtained by the reader without accessing the Internet. This is important in cybersecurity circles, because linking to the Internet greatly increases vulnerability to hacking or corruption.

To further protect the information in the QR code, Javidi applies an optical imaging "mask" that scrambles the QR code design into a random mass of black-and-white pixels that look similar to the snowy images one might see on a broken TV. He then adds yet another layer of security through a random phase photon-based encryption that turns the snowy image into a darkened nighttime sky with just a few random stars or dots of pixilated light.

The end result is a self-contained, highly secure, information-laden microscopic design that is nearly impossible to duplicate. Only individuals who have the special corresponding codes could decrypt the QR image.

And that is important to all of us.


Story Source:

Materials provided by University of Connecticut. Original written by Colin Poitras. Note: Content may be edited for style and length.


Journal Reference:

  1. A. Markman, B. Javidi, M. Tehranipoor. Photon-Counting Security Tagging and Verification Using Optically Encoded QR Codes. IEEE Photonics Journal, 2014; 6 (1): 1 DOI: 10.1109/JPHOT.2013.2294625

Cite This Page:

University of Connecticut. "QR codes with advanced imaging and photon encryption protect computer chips." ScienceDaily. ScienceDaily, 27 February 2015. <www.sciencedaily.com/releases/2015/02/150227084730.htm>.
University of Connecticut. (2015, February 27). QR codes with advanced imaging and photon encryption protect computer chips. ScienceDaily. Retrieved May 23, 2017 from www.sciencedaily.com/releases/2015/02/150227084730.htm
University of Connecticut. "QR codes with advanced imaging and photon encryption protect computer chips." ScienceDaily. www.sciencedaily.com/releases/2015/02/150227084730.htm (accessed May 23, 2017).

RELATED STORIES