Giovanni Apruzzese

Personal Information - Since July 2020 Research Assistant at University of Liechtenstein

Ing. Giovanni Apruzzese, PhD PostDoc Researcher Department of Information Engineering "Enzo Ferrari" University of Modena and Reggio Emilia Via Vivarelli, 10 41125 - Modena, Italy Tel.:   +39 0592056273 Fax :   +39 0592056129 E-mail:  giovanni.apruzzese@unimore.it GPG Key:  0xBC71C59C Curriculum Vitae:  English (2021) Configurazione VPN Unimore su Debian/Ubuntu.

Research Interests

• Big Data Security Analytics
• Graph algorithms
• Machine and Deep Learning for Cybersecurity
• Detection of Phishing and Network Intrusions
• Adversarial Attacks against Machine Learning

Datasets

• Pivoting Dataset
• DReLAB dataset - Deep Reinforcement Learning Adversarial Botnet dataset

Publications

• Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, Mirco Marchetti, "Scalable architecture for online prioritization of cyber threats", Proc. of the 9th NATO International Conference on Cyber Conflicts (CyCon 2017), Tallinn, Estonia, June 2017. [PDF]


• Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, "Detection and Threat Prioritization of Pivoting Attacks in Large Networks", IEEE Transactions on Emerging Topics in Computing (TETC), October 2017. [PDF]


• Giovanni Apruzzese, Mirco Marchetti, Michele Colajanni, Gabriele Gambigliani Zoccoli, Alessandro Guido, "Identifying malicious hosts involved in periodic communications", Proc. of the 16th IEEE International Symposium on Network Computing and Applications (IEEE NCA17), Cambridge, MA, USA, November 2017. [PDF]


• Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Alessandro Guido, Mirco Marchetti, "On the Effectiveness of Machine and Deep Learning for Cybersecurity", Proc. of the 10th NATO International Conference on Cyber Conflicts (Cycon 2018), Tallinn, Estonia, May 2018. [PDF]


• Giovanni Apruzzese, Michele Colajanni, "Evading Botnet Detectors based on Flows and Random Forest with Adversarial Samples", Proc. of the 17th IEEE International Symposium on Network Computing and Applications (IEEE NCA18), Cambridge, MA, USA, November 2018. [BEST STUDENT PAPER AWARD] [PDF]


• Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Mirco Marchetti, "Addressing Adversarial Attacks Against Machine Learning Security Systems", Proc. of the 11th NATO International Conference on Cyber Conflicts (Cycon 2019), Tallinn, Estonia, June 2019. [PDF]


• Giovanni Apruzzese, Michele Colajanni, Mirco Marchetti, "Evaluating the Effectiveness of Adversarial Attacks against Botnet Detectors", Proc. of the 18th IEEE International Symposium on Network Computing and Applications (IEEE NCA19), Cambridge, MA, USA, September 2019. [BEST STUDENT PAPER AWARD] [PDF]


• Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti, "Hardening Random Forest Cyber Detectors Against Adversarial Attacks", IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), May 2020. [PDF]


• Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Vincenzo Giuseppe Colacino, Giacomo Russo, "AppCon: Mitigating Evasion Attacks to ML Cyber Detectors", Symmetry, April 2020. [PDF]


• Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Andrea Venturi, Michele Colajanni, "Deep Reinforcement Adversarial Learning against Botnet Evasion Attacks", IEEE Transactions on Network and Service Management (IEEE TNSM), October 2020. [PDF]


• Andrea Venturi, Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti "DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems", Elsevier Data in Brief, December 2020 [Link to Elsevier]