News

RPKI is insecure - Mechanism for Internet security broken

ATHENE has 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 or government attackers from diverting traffic on the Internet. Such redirections are surprisingly common on the Internet, e.g., for espionage or through misconfigurations. 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. According to analyses by the ATHENE team, popular implementations of RPKI worldwide were vulnerable by early 2021. The team informed the manufacturers, and now presented the findings to the inter­national expert public.

US Consul General Norman Thatcher Scharpf visits ATHENE

Today, Norman Thatcher Scharpf, the new Consul General of the USA in Frankfurt am Main, and his team met with our CEO Prof, Michael Waidner and Prof. Haya Shulman, Member of the ATHENE Board, and Coordinator of  our research ares Analytics Based Cyber­security (ABC).

Successful completion of the first round of Booster - the new funding program for cybersecurity founders

The winning teams of the first round of the booster have been determined. Applications for another round are now possible at sus-beratung@athene-center.de.

Two ATHENE scientists in new DFG research programs

ATHENE researchers Prof. Dr. Miza Mezini and Prof. Dr. Matthias Hollick are members of the program committees of two new priority programs of the German Research Foundation (DFG).

Alumnus wins CAST/ GI IT security PhD award

Dr.-Ing. Daniel Demmler, former doctoral and post-doc of the ENCRYPTO working group at the TU Darmstadt, led by ATHENE scientist Pro. Thomas Schneider, was awarded for his PhD Thesis „Towards Practical Privacy-Preserving Protocols“ with the CAST/ GI PhD award IT security 2020/21.

The award is considered the most important national award for doctorates in the field of IT sceurity. At a virtual event that was part of the 17th German IT Security Congress, Daniel Demmler prevailed against 3 other finalists in the public vote.

How secure is Machine Learning?

The value of security and privacy in machine learning approaches has been investigated by researchers of the Fraunhofer Institute for Applied and Integrated Security AISEC, the Fraunhofer Institute for Secure Information Technology SIT, the National Research Center for Applied Cyber­security ATHENE and the Freie Universität Berlin in a joined study. Participants who work professionally or personally with machine learning approaches are still needed for the research project.