Monica P. Arenas

By

Interdisciplinary Research Group in Socio-technical Cybersecurity

Monica P. Arenas

Research Associate

monica.arenas@uni.lu

Mónica Arenas received her Ph.D. degree in Materials Science, from the Federal University of Rio de Janeiro (Brazil), in 2017, where she worked as a postdoctoral researcher on the development of sensors for the lifetime prediction of oil pipelines.
In 2020, she joined the Interdisciplinary Research Group in Sociotechnical Cybersecurity, IRiSC, headed by Prof. Gabriele Lenzini as Research Associate.
She had the opportunity to move between materials and computer science fields, which allows her to approach projects with a distinct perspective in multidisciplinary areas.

Research Interests

Currently, her main research interests are in designing and implementing cryptographic protocols for materials that have fingerprint features, as well as in biometric systems, data analytics, and data privacy.

Campus Office

MNO, E02 0215-110
Maison du Nombre
6, Avenue de la Fonte
L-4364 Esch-sur-Alzette

Challenges of protecting confidentiality in social media data and their ethical import
Arianna Rossi, Mónica P Arenas, Emre Kocyigit, Moad Hani
2022 IEEE European Symposium on Security and Privacy Workshops
Challenges of protecting confidentiality in social media data and their ethical import
A Secure Authentication Protocol for Cholesteric Spherical Reflectors using Homomorphic Encryption
Mónica P. Arenas, Muhammed Ali Bingol, Hüseyin Demirci, Georgios Fotiadis, Gabriele Lenzini
AFRICACRYPT: 13th International Conference on Cryptology in Africa
A Secure Authentication Protocol for Cholesteric Spherical Reflectors using Homomorphic Encryption
Cholesteric Spherical Reflectors as Physical Unclonable Identifiers in Anti-counterfeiting
Mónica P. Arenas , Hüseyin Demirci and Gabriele Lenzini
International Conference on Availability, Reliability and Security (ARES)
Cholesteric Spherical Reflectors as Physical Unclonable Identifiers in Anti-counterfeiting
Our paper published in the journal Machine Learning Knowledge Extraction, was selected as the cover page of Volume 4, Issue 1.
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
Mónica P. Arenas , Hüseyin Demirci and Gabriele Lenzini
Machine Learning & Knowledge Extraction, selected as the cover page of Volume 4, Issue 1.
An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification