Whether application letters, school essays or program codes - with the text AI ChatGPT, texts of all kinds can be generated automatically within seconds. Fraunhofer SIT is researching ways to help recognize texts created with ChatGPT. Among other things, our text forensic experts work with a self-developed method for authorship verification, COAV. This is used to calculate the distances between texts using similarities of text modules and typical consecutive letter strings: Is the text closer to GPT or closer to a human?
Our cybersecurity specialist Dr. Haya Shulman has accepted a professorship at the Institute of Computer Science at Goethe University Frankfurt, and thus also has taken up a LOEWE top professorship. The LOEWE research funding program of the state of Hesse is providing around 2.18 million euros over a period of five years to endow the professorship.
In the new research project MaLeFiz (Machine Learning for the Identification of Conspicuous Financial Transactions), researchers are working on a solution that uses machine learning – an artificial intelligence technique – to improve the search for illegal money flows and make it more precise. In addition, the project partners are developing minimum requirements and control mechanisms for AI solutions used in the financial industry.
JAB-Code, the color barcode of the Fraunhofer SIT, is on the way to becoming an international ISO standard. JAB-Code – Just Another Barcode – is to be brought to a full ISO standard by 2022. It uses color as a third dimension and can therefore store more information in the same space. The color code does not have to use database references and links, it simply stores the information itself.
Fraunhofer Singapore and SIT published a survey of Chinese cybersecurity and data protection regulations for the electric and connected car industry: It contains an overview of laws and regulations, including the responsible institutions in China, since 2015. The study also addresses research and development facilities as well as standardization authorities.
ATHENE researchers have found a way to break one of the basic mechanisms used to secure Internet traffic. The mechanism, called RPKI, is actually designed to prevent cybercriminals from diverting traffic on the Internet. The ATHENE scientist team of Prof. Dr. Haya Shulman showed that attackers can completely bypass the security mechanism without the affected network operators being able to detect this.
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