Lifeboat Foundation

An interesting new attack on biometric security has been outlined by a group of researchers from China and the US. PrintListener: Uncovering the Vulnerability of Fingerprint Authentication via the Finger Friction Sound [PDF] proposes a side-channel attack on the sophisticated Automatic Fingerprint Identification System (AFIS). The attack leverages the sound characteristics of a user’s finger swiping on a touchscreen to extract fingerprint pattern features. Following tests, the researchers assert that they can successfully attack “up to 27.9% of partial fingerprints and 9.3% of complete fingerprints within five attempts at the highest security FAR [False Acceptance Rate] setting of 0.01%.” This is claimed to be the first work that leverages swiping sounds to infer fingerprint information.

Biometric fingerprint security is widespread and widely trusted. If things continue as they are, it is thought that the fingerprint authentication market will be worth nearly $100 billion by 2032. However, organizations and people have become increasingly aware that attackers might want to steal their fingerprints, so some have started to be careful about keeping their fingerprints out of sight, and become sensitive to photos showing their hand details.

A patent from Samsung also suggests the ring will contain a biometric sensor and two narrow screens on the ring’s outside edges to display notifications.

The Apple Vision Pro uses Optic ID as biometric authentication for payments and certain visionOS actions. Here’s how it works, and how to use it.

Their “AI” was considered a threat to security.

It comes 3 years after Amazon debuted its ‘handy’ authentication service for consumers.

Amazon’s cloud computing subsidiary AWS (Amazon Web Services) has lifted the lid on a new palm-scanning identity service that allows companies to authenticate people when entering physical premises.

The announcement comes as part of AWS’s annual Re: Invent conference, which is running in Las Vegas for the duration of this week.

Continue reading “AWS brings Amazon One palm-scanning authentication to the enterprise” »

BRUSSELS, Oct 29 (Reuters) — The Group of Seven industrial countries will on Monday agree a code of conduct for companies developing advanced artificial intelligence systems, a G7 document showed, as governments seek to mitigate the risks and potential misuse of the technology.

The voluntary code of conduct will set a landmark for how major countries govern AI, amid privacy concerns and security risks, the document seen by Reuters showed.

Leaders of the Group of Seven (G7) economies made up of Canada, France, Germany, Italy, Japan, Britain and the United States, as well as the European Union, kicked off the process in May at a ministerial forum dubbed the “Hiroshima AI process”.

The BBC has blocked the artificial intelligence software behind ChatGPT from accessing or using its content.

The move aligns the BBC with Reuters, Getty Images and other content providers that have taken similar steps over copyright and privacy concerns. Artificial intelligence can repurpose content, creating new text, images and more from the data.

Rhodri Talfan Davies, director of nations at the BBC said the BBC was taking steps to safeguard the interests of licence fee payers as this new technology evolves.

As we plunge head-on into the game-changing dynamic of general artificial intelligence, observers are weighing in on just how huge an impact it will have on global societies. Will it drive explosive economic growth as some economists project, or are such claims unrealistically optimistic?

Few question the potential for change that AI presents. But in a world of litigation, privacy concerns and ethical boundaries, will AI be able to thrive?

Two researchers from Epoch, a research group evaluating the progression of artificial intelligence and its potential impacts, decided to explore arguments for and against the likelihood that innovation ushered in by AI will lead to explosive growth comparable to the Industrial Revolution of the 18th and 19th centuries.

New AI voice and video tools can look and sound like you. But can they fool your family—or bank?

WSJ’s Joanna Stern replaced herself with her AI twin for the day and put “her” through a series of challenges, including creating a TikTok, making video calls and testing her bank’s voice biometric system.

Continue reading “I Challenged My AI Clone to Replace Me for 24 Hours” »