Research Group Security • Usability • Society (SECUSO)

Research Group Security • Usability • Society (SECUSO)

The research group SECUSO

The research group SECUSO belongs to the Institute of Applied Informatics and Formal Description Methods (AIFB) of the Karlsruhe Institute of Technology (KIT). The group was founded in 2011 by Prof. Dr. Melanie Volkamer at the TU Darmstadt. SECUSO moved to the Karlsruhe Institute of Technology at the beginning of 2018. SECUSO is a member of Kastel and K-CIST.

Risk contactless debit card (24-11-2020)

Contactless debit cards are widespread and became more important in times of Corona. But what happens if someone is stealing your contactless debit card and misuses the contactless option to pay without having to enter the PIN? In our report "Reporting Insights Gaines into UK Citizens' Perceptions of Contactless Card Risks" we study the perception of the above-mentioned risks and how users perceive it. We discovered that participants perception were not aligned with their actual risks.

You'll find the paper here
New project "Digital Citizen Science @ KD²Ex" (20-11-2020)

As part of the EXU project “KIT Future Fields”, Prof. Weinhardt (IISM), Prof. Mädche (IISM), Prof. Nieken (IBU), Prof. Scheibehenne (IISM), Prof. Szech (ECON), Prof. Volkamer (AIFB) and Prof. Woll (IfSS) get funded for 18 months for the project "Digital Citizen Science @ KD²Ex": Experimental research on well-being, work and education at home ".

Go to project site
SECUSO represented twice at PITS (11-11-2020)

Networking and digitization are central enablers of a crisis-proof society. As a meeting point for IT managers from the federal, state, local authorities, the armed forces, European police authorities,
intelligence services, NATO, security solution providers and science is the
Public IT Security (PITS) has been a key platform for exchanging information on new trends for over ten years. This year SECUSO will take part in two expert panels - on the subject of phishing and on the subject of security awareness.

PITS program
“Healthy surveillance”: Designing a concept for privacy-preserving mask recognition AI in the age of pandemics - Paper online available (06-11-2020)

The trade-off between personal data protection and AI performance is an exciting field of research. In the ongoing fight against the spread of the novel coronavirus COVID-19, many governments have recommended—or even obliged—their citizens to wear masks as an effective countermeasure. In an interdisciplinary, cross-institute (IISM, KSRI and AIFB / KASTEL / SECUSO) work, Niklas Kühl, Dominik Martin, Clemens Wolff, and Melanie Volkamer show what a privacy-friendly mask recognition video system could look like. This paper is an update of the paper with the same title published in summer.