Interdisciplinary Research Group in Socio-technical Cybersecurity
Head of the IRiSC Research Group, Associate professor | Chief scientist 2
Prof. Dr. Gabriele Lenzini has decennial expertise in the design of security and privacy for socio-technical systems, studying how security and privacy can be achieved beyond the technical dimension and when systems are deployed in an environment where human factors, user experience, and legal compliance also contribute to the system’s security and privacy.
He has a PhD, in Computer Science (2005, University of Twente, The Netherlands) and two MSc, respectively in Computer Science and in Information Technologies (University of Pisa, Italy).
He has worked at the University of Pisa and at the Italian National Council of Research (CNR), in Italy, and at the University of Twente, and at Telematica Institute, in the Netherlands. He participated in the development and execution of numerous national and international projects, most of them with a strong industrial participation.
In February 2010 he joined the SnT. He is now Head of the IRiSC research group (Interdisciplinary Research in Socio-Technical Cybersecurity).
He works on electronic voting security, and on location and privacy assurance, and in socio-technical security: he is chair of one of the few workshops in this area (www.stast.uni.lu).
Areas of expertise
- Socio-technical Security
- Formal Methods
- Legal Informatics
Please refer to our Publications section for the full list of Gabriele’s academic outcomes. Below are the 5 latest Gabriele’s publications.
Cholesteric Spherical Reflectors as Physical Unclonable Identifiers in Anti-counterfeiting
Which Properties has an Icon? A Critical Discussion on Evaluation Methods for Standardised Data Protection Iconography
Our paper published in the journal Machine Learning Knowledge Extraction, was selected as the cover page of Volume 4, Issue 1.
An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification
“I personally relate it to the traffic light”: a user study on security & privacy indicators in a secure email system committed to privacy by default
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