Numerous Manufacturers Use Insecure Android Kernels

In an analysis of smartphones of ten manufacturers, researchers at TU Graz have found that the Android kernels used are vulnerable to known attacks – so-called one-day exploits – despite existing…
In an analysis of smartphones of ten manufacturers, researchers at TU Graz have found that the Android kernels used are vulnerable to known attacks – so-called one-day exploits – despite existing…
How can diseases of the cardiovascular system be detected before symptoms appear? Researchers at Graz University of Technology (TU Graz) have found a way to track them down at an early stage.
One topic, but a multiplicity of angles and perspectives.
Energy storage systems are becoming increasingly important, powerful and widespread. However, this also means that the demands on their safety and durability are growing.
Researchers at TU Graz have published a video game about the health effects of the microbiome and what impact our lifestyle has on it.
Finding and fixing errors in programme code still takes up a lot of developers’ time. A team at TU Graz has now developed a solution that tackles the biggest time wasters.
Online activities can be monitored in detail simply by analysing latency fluctuations in the internet connection, researchers at Graz University of Technology have discovered. The attack works without…
An interdisciplinary team at TU Graz offers revolutionary insight into the design of sustainable buildings. The advantages and disadvantages of different construction measures are visualised in real…
The chemist works on the next generation of organic solar cells at the Institute of Chemical Technology of Materials at Graz University of Technology. The alpha+ Foundation of the Austrian Science…
Physicists at TU Graz have calculated how suitable molecules can be stimulated by infrared light pulses to form tiny magnetic fields. If this is also successful in experiments, the principle could be…
Due to the complex structures of microporous crystals known as MOFs, reliable simulations of their properties have been difficult until now. Machine learning provides the solution.
Monthly Newsletter about current Researchtopic at Tu Graz. Follow now.
TU Graz | Communications and Marketing
Rechbauerstraße 12, 8010 Graz
+43 316 873 6005
kommunikation @tugraz.at