Dependable Internet of Things in Adverse Environments

By 2020, the Internet of Things (IoT) will consist of 50 billion resource-constrained “Smart Things” that will provide critical every-day services in applications as diverse as Smart Cities, Smart Production, or Connected Cars. These applications require a dependable IoT despite hostile environments and deliberate attacks, where dependability summarizes aspects such as reliability, safety and security that enable users to put trust into the IoT. Today’s approaches to construct an IoT do not guarantee dependability.

The research center “Dependable Internet of Things” brings together eleven of the best researchers from the departments of Computer Science & Biomedical Engineering and Electrical & Information Engineering at TU Graz in order to provide the scientific foundations for an IoT that works dependably and that is resilient against failures and attacks.

Besides carrying out cutting-edge basic research aiming to offer methods and tools to predict, guarantee, and ultimately raise the level of dependability of the IoT (more info), the center aims to transfer the research results into real-world applications together with local and international industry partners.

Best paper award for Bernhard Grosswinhager at IEEE/ACM IPSN 2019

The paper on the SnapLoc localization system co-authored by LEAD-project PhD student Bernhard Grosswinhager received the best paper award at IEEE/ACM IPSN 2019, one of the leading conferences in the field. Also the demo accompanying the paper was a runner-up for the best demo award.

Guest lecture on "Array Signal Processing Techniques" by Prof. Bernard Fleury

A guest lecture on "Array Signal Processing Techniques" will be held by Prof. Bernard Fleury from Aalborg University, Denmark, between May 27 and June 13, 2019. Further detail can be found here. Please register for the course through TUG Online.
 

Successful mid-term review

On Feb 7, 2019 an international expert jury, chaired by Prof. Dr. Wolfgang Knoll, managing director of AIT, reviewed the LEAD project positively and recommends funding the second 3-year phase.