Giulia De Santis

Position

PostDoctoral Researche – MAT/08

Tutor

Prof. Cristina Marcelli

Research Areas

Graph theory, Exponential Random Graph Models (ERGMs), Markov Models, Hidden Markov Models, Network Scanners, Zmap, Shodan, Network Security, Advanced Persistent Threats (APTs), Quantum Computing.

Capsule Bio

Born in Osimo (AN), Italy, in 1988, I received, during the academic year 2009/2010, a Bachelor Degree in Mathematics and Applications at the University of Camerino (Italy). In April 2015 I obtained a Master Degree in Mathematics and Applications at the University of Camerino, and a Master Degree in Angewandte Mathematik at the Tecniche Universität Claustal (Germany). In 2018 I obtained a Ph.D. in Computer Science, released by the Université de Lorraine (France), at INRIA Nancy – Grand Est (France). From 2019 to 2021 I was a post-doc researcher at the Department of Computer Science of the University of Verona. Actually I am a post-doc researcher at the Department of Industrial Engineering at Mathematical Sciences (DIISM).

Main publications

1. G. De Santis, A. Lahmadi, J. François, O. Festor: Modeling of IP scanning activities with hidden markov models: Darknet case study (2016)
2. J. Navarro, V. Legrand, S. Lagraa, J. François, A. Lahmadi, G. De Santis, O. Festor, N. Lammari, F. Hamdi, A. Deruyver, Q. Goux, M. Allard, P. Parrend: Huma: A multi-layer framework for threat analysis in a heterogeneous log environment (2017)
3. G. De Santis, A. Lahmadi, J. François, O. Festor: Internet-Wide Scanners Classification using Gaussian Mixture and Hidden Markov Models (2018)
4. G. De Santis, Modeling and Recognizing Network Scanning Activities with Finite Mixture Models and Hidden Markov Models (2018)

Email:
g.desantis@staff.univpm.it

Phone:
+39 071 220 4174

Room:
Q155_107