RUBIN: How intelligence agencies spy out our data

17.06.2016 - Dominik Baumgarten


Prof. Chris­tof Paar from the Chair for Embedded Security has received an Advanced Grant by the European Research Council (ERC) in 2016. This research aim is designed to develop mechanisms to provide better security measures for the Internet of Things. Special emphasis is put on the manipulation of computer chips, small hardware devices. The recent article in RUBIN explains their importance for networks of connected digital devices.

RUBIN: Tough nut for quantum computers

17.06.2016 - Dominik Baumgarten


The team around Prof. Alexander May interprets IT Security as investigation in future times. The chair for Cryptology and IT Security investigates into mathematical problems in order to provide better encryption of data. This improved security will be neccessary once the first quantum computer will be developped, which might easily break the current methods of encryption. RUBIN features an article of the chair's research.

ITS.Connect gathers 350 scholars

17.06.2016 - Dominik Baumgarten


On June 10, 2016 more than 350 students, company representatives and alumni of the Horst Görtz Institute met at the ITS.Connect in Bochum. The annual company contact fair aims to provide a broad platform for young graduates of all fields of IT Security to get in contact with possible future employers. The accompanying meeting for HGI alumni and a series of lectures built the framework for this very successful event.

RUBIN: Technology for the Internet of Things

17.06.2016 - Dominik Baumgarten


The series in RUB's science magazine RUBIN on the scholars of our institute is back with a new feature: Prof. Thorsten Holz investigates into the network of digitally connected everyday items, e.g. the components of a smart household. These connectes systems provide room for attacks. In the featured article, Holz explains the scientific problems of dealing with the variety of codes and processors which are combined within connected systems.

Self-learning Programmes for secure patient data

09.05.2016 - Dominik Baumgarten


Not only humans are able to absorb experiences - self-learning software can possibly collect further knowledge, too. An article in RUBIN focusses on the research work of Prof. Hans Simon's group, which investigates in such intelligent software to process medical data. Self-learning software (including appropriate IT security) are planned to help creating valuable statistics and prognosis without harming the patients' privacy.

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