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Short bio

I received a master's degree in computer science in 2016, at the University of Padova, Italy, with a thesis about the application of relational data mining. Since October 2018, I am a Ph.D. Student at the Brain, Mind and Computer Science (BMCS) School of the University of Padua under the supervision of Prof. Mauro Conti. I am a member of the SPRITZ research group.
My research interests lie primarily on the security of authentication systems. My studies focus on the development of new authentication methods and the development of new attacks against existing authentication methods. In both research fields, I use Machine Learning and Deep Learning techniques.

Full CV

List of Publications

Journal Papers

  • Giuseppe Bernieri, Stefano Cecconello, Mauro Conti, Gianluca Lain.
    TAMBUS: A novel authentication method through covert channels for securing industrial networks.
    Elsevier Computer Networks, 183, 2020. DOI:10.1016/j.comnet.2020.107583.
  • Stefano Cecconello, Alberto Compagno, Mauro Conti, Daniele Lain, & Gene Tsudik.
    Skype & Type: Keyboard Eavesdropping in Voice-over-IP.
    ACM Transactions on Privacy and Security (TOPS), 22 columns (4), 1-34, 2019. DOI:10.1145/3365366.

International Conferences And Workshops

  • Matteo Cardaioli, Stefano Cecconello, Mauro Conti, Stjepan Picek, Simone Milani, & Eugen Saraci.
    Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand.
    2021 In Proceedings of the 31th USENIX Security Symposium (USENIX Security 2022), Boston, USA.
  • Kiran Balagani, Matteo Cardaioli, Stefano Cecconello, Mauro Conti, & Gene Tsudik.
    We Can Hear Your PIN Drop: An Acoustic Side-Channel Attack on ATM PIN Pads. In European Symposium on Research in Computer Security (ESORICS, 2022).
  • Matteo Cardaioli, Stefano Cecconello, Merylin Monaro, Giuseppe Sartori, Mauro Conti, & Graziella OrrĂ¹.
    Malingering Scraper: A Novel Framework to Reconstruct Honest Profiles from Malingerer Psychopathological Tests.
    In International Conference on Neural Information Processing (2021). Springer, Cham.
  • Mattia Carlucci, Stefano Cecconello, Mauro Conti, & Piero Romare.
    Eathentication: A Chewing-based Authentication Method.
    2020 IEEE Conference on Communications and Network Security (CNS), Avignon, France, 2020, pp. 1-9. DOI: 10.1109/CNS48642.2020.9162343.
  • Matteo Cardaioli, Stefano Cecconello, Luca Pajola, & Federico Turrin.
    Fake news spreaders profiling through behavioural analysis.
    In CLEF Labs and Workshops, Notebook Papers. 2020.
  • Moreno Ambrosin, Stefano Cecconello, Mauro Conti, & Daniele Lain.
    A roaming-based denial of service attack on LTE networks: poster.
    Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 283-284, 2017. DOI:10.1145/3098243.3106027.


  • Mattia Carlucci, Stefano Cecconello, Mauro Conti, & Piero Romare.
    Method of authenticating a user through analysis of changes in the external ear canal. IT Patent n. 102020000001192, 2020. Publication number WO2021148932A1 (29/07/2021)

Teaching activities

  • Teaching assistant of Cybersecurity and Cryptography: Principles and Practices course (2020/2021). Master's degree in Cybersecurity, University of Padova.
  • Teaching assistant of Database course (2019/2020). Bachelor's degree in Computer Science, University of Padova.
  • Teaching assistant of Computer Science and bioinformatics for Biology (2018/2019, 2019/2020, 2020/2021). Bachelor's degree in Biology, University of Padova.
  • Organizer for CyberChallenge (2020), University of Padova.

Contact Me

Office #731, 7th floor
Torre Archimede, via Trieste 63
35121 Padova, Italy.