Security news

Security

Experts weigh in on AI doomsday predictions

Recent headlines cast artificial intelligence as a threat to humanity. But University of Texas at Dallas AI experts say it will be up to humans to devise protections.

Security

When stubbornness becomes a security problem: How AI agents can manipulate others

Imagine a neighbor who persistently claims you make noise at night. Others initially disagree, but the neighbor keeps trying to convince them. Their success depends not only on their stubbornness but also on how well connected ...

Security

AI model spots spoofed website addresses with up to 99% accuracy

A machine-learning system can identify fake, or spoofed, website addresses, according to research published in the International Journal of Electronic Security and Digital Forensics. The work offers a new tool to protect ...

Security

New cloud security vulnerability uncovered

An international team of researchers, including professor David Oswald from our Department of Computer Science, has discovered a security vulnerability that could put sensitive data stored in cloud computing systems at risk.

Security

Why we should expect cyberattacks during major events

When Norway's attention turns to Oslo for the king's funeral on Wednesday, it creates a vulnerable moment in the digital sphere that hostile actors may seek to exploit. NTNU professor Basel Katt advises people to be alert.

Consumer & Gadgets

More grip on smart devices? Why legislation falls short

From smart vacuum cleaners and doorbell cameras to complex medical equipment in hospitals, many devices around us are connected to the internet. But are we adequately protected against the risks this poses? Legal scholar ...

Consumer & Gadgets

15-minute training helps people spot AI-generated faces

Researchers at the University of Southampton have come up with a way to help people spot AI-generated faces. They've developed a short training program that improves people's ability to distinguish between real, human faces ...

Security

Neural network model predicts cyber attacks with high accuracy

A machine-learning model has been designed to predict emerging computer network security threats with greater reported accuracy than support vector machine systems, according to research in the International Journal of Intelligent ...

Security

Researchers eye 'topological signatures' of cyber threats

As the amount of data that people and machines create, collect, process, and store continues to increase in size and complexity, so does the task of keeping cyber systems safe and secure from ever more sophisticated cyber ...

Security

Researchers uncover security flaw in miniature medical labs

NYU researchers have identified a new material-level security risk in an emerging medical technology known as labs-on-chips, miniature devices that perform multiple laboratory tests on tiny fluid samples like blood droplets.