Lifeboat Foundation

Terahertz (THz) radiation is electromagnetic radiation ranging from frequencies of 0.1 THz to 10 THz, with wavelengths between 30μm and 3mm. Reliably detecting this radiation could have numerous valuable applications in security, product inspection, and quality control.

For instance, THz detectors could allow law enforcement agents to uncover potential weapons on humans or in luggage more reliably. It could also be used to monitor natural environments without damaging them or to assess the quality of food, cosmetics and other products.

Recent studies introduced several devices and solutions for detecting terahertz radiation. While a few of them achieved promising results, their performance in terms of sensitivity, speed, bandwidth and operating temperature is often limited. Researchers at Massachusetts Institute of Technology (MIT), University of Minnesota, and other institutes in the United States and South Korea recently developed a new camera that can reliably detect THz radiation at room temperature, while also characterizing its so-called polarization states. This camera, introduced in a paper published in Nature Nanotechnology, is based on widely available complementary metal-oxide-semiconductors (CMOS), enhanced using quantum dots (i.e., nm-sized semiconductor particles with advantageous optoelectronic properties).

The accuracy of pedestrian identification was reduced by 57% when the students tested the outfit on on-campus security cameras.

According to the South China Morning Post (SCMP), Chinese students have successfully developed a coat that can make people invisible to security cameras. So the SCMP story goes, the coat looks the same as regular camouflaged clothing, but it can trick digital cameras, especially ones with AI.

Continue reading “Student-made invisibility coat aims to hide wearers from AI cameras” »

After a long-running probe into TikTok, individual states have started to take action against the social media company over security concerns. CNBC’s Kayla Tausche joins ‘Squawk Box’ with the details.

Researchers from the University of Maine and University of Massachusetts Amherst have designed new liquid-coated air filters that allow for improved early detection and analysis of airborne bacteria and viruses, including the one that causes COVID-19. The team has published their findings in the journal ACS Applied Materials & Interfaces.

While conventional air filters help control the spread of disease in public spaces like hospitals and travel hubs, they struggle to keep the pathogens they capture viable for testing. The inefficiency can inhibit scientists’ ability to identify biological threats early on, which could hinder any response and protection measures.

The research team, led by Caitlin Howell, a UMaine associate professor of biomedical engineering, developed a composite membrane with a liquid layer for filters that is better suited for capturing viable bacterial and viral samples for analysis. They modeled the membrane after the Nepenthes pitcher plant, which has a slippery rim and inner walls that cause insects to fall and become trapped within its digestive fluid. By keeping the bacteria and viruses they capture feasible for examination, researchers say their novel liquid-coated air filters can enhance air sampling efforts, early pathogen detection and biosurveillance for national security.

Researchers in the field of optical spectrometry have created a better instrument for measuring light. This advancement could improve everything from smartphone cameras to environmental monitoring.

The research, led by Finland’s Aalto University, developed a powerful, incredibly small spectrometer that fits on a microchip and is run by artificial intelligence. Their research was recently published in the journal Science.

The study used a relatively new class of super-thin materials known as two-dimensional semiconductors, and the result is a proof of concept for a spectrometer that could be easily integrated into a number of technologies such as quality inspection platforms, security sensors, biomedical analyzers, and space telescopes.

Computer scientists at New York University and Michigan State University have trained an artificial neural network to create fake digital fingerprints that can bypass locks on cell phones. The fakes are called “DeepMasterPrints”, and they present a significant security flaw for any device relying on this type of biometric data authentication. After exploiting the weaknesses inherent in the ergonomic needs of cellular devices, DeepMasterPrints were able to imitate over 70% of the fingerprints in a testing database.

An artificial neural network is a type of artificial intelligence comprising computer algorithms modeled after the human brain’s ability to recognize patterns. The DeepMasterPrints system was trained to analyze sets of fingerprint images and generate a new image based on the features that occurred most frequently. This “skeleton key” could then be used to exploit the way cell phones authenticate user fingerprints.

In cell phones, the necessarily small size of fingerprint readers creates a weakness in the way they verify a print. In general, phone sensors only capture a partial image of a print when a user is attempting to unlock the device, and that piece is then compared to the phone’s authorized print image database. Since a partial print means there are fewer characteristics to distinguish it than a full print, a DeepMasterPrint needs to match fewer features to imitate a fingerprint. It’s worth noting that the concept of exploiting this flaw is not unique to this particular study; however, generating unique images rather than using actual or synthesized images is a new development.

Researchers demonstrate a loss-tolerant method for so-called quantum steering, a phenomenon that could give quantum communication networks complete security.

Hive Social, a social media platform that has seen meteoric growth since Elon Musk took over Twitter, abruptly shut down its service on Wednesday after a security advisory warned the site was riddled with vulnerabilities that exposed all data stored in user accounts.

“The issues we reported allow any attacker to access all data, including private posts, private messages, shared media and even deleted direct messages,” the advisory, published on Wednesday by Berlin-based security collective Zerforschung, claimed. “This also includes private email addresses and phone numbers entered during login.”

The post went on to say that after the researchers privately reported the vulnerabilities last Saturday, many of the flaws they reported remained unpatched. They headlined their post “Warning: do not use Hive Social.”

Google’s Threat Analysis Group (TAG) has linked an exploit framework that targets now-patched vulnerabilities in the Chrome and Firefox web browsers and the Microsoft Defender security app to a Spanish software company.

While TAG is Google’s team of security experts focused on protecting Google users from state-sponsored attacks, it also keeps track of dozens of companies that enable governments to spy on dissidents, journalists, and political opponents using surveillance tools.

The search giant says the Barcelona-based software firm is one of these commercial surveillance vendors and not just a provider of custom security solutions as it officially claims.