Daniel J. Dubois

Senior Research Scientist

Daniel Dubois
  • PhD in Information Engineering, Politecnico di Milano - Italy
  • MS in Computer Science, University of Illinois at Chicago
  • MS in Computer Engineering, Politecnico di Milano - Italy
  • BS in Computer Engineering, Politecnico di Milano - Italy

Daniel J. Dubois is a senior research scientist at Northeastern University’s Khoury College of Computer Sciences. He obtained both his bachelor’s and master’s degrees in computer engineering from Politecnico di Milano, as well as another master’s degree in computer science from the University of Illinois at Chicago. He earned his PhD in information engineering from Politecnico di Milano. Dubois is currently working with David Choffnes and the Mon(IOT)r lab to understand the privacy implications of smart devices and the Internet of Things. His research is rooted in software engineering, specifically on decentralized and self-adaptive software architectures from a perspective of privacy. Dubois’s research goal is to give people a means to understand what private information their devices are sharing with third parties; and to block any unwanted information-sharing, as he believes that the public’s awareness of the sensitive information they give and get access to are almost nonexistent.

Prior to joining Northeastern, Dubois interned at IBM Haifa Research Lab, working on optimizing live virtual machine migrations. He then participated as a postdoctoral researcher at the Massachusetts Institute of Technology Media Lab in decentralizing the content sharing platform called ShAir for mobile devices. Dubois later led the SPANDO (Self-organizing Performance Prediction and Optimization for Large-scale Systems) Project at Imperial College, where he worked to optimize the trade-off between cost and performance to deploy cloud applications.

Dubois grew up in Cagliari, on the island of Sardinia.

  • Detecting consumer IoT devices through the lens of an ISP

    Citation: Saidi, Said Jawad and Mandalari, Anna Maria and Haddadi, Hamed and Dubois, Daniel J. and Choffnes, David and Smaragdakis, Georgios and Feldmann, Anja. “Detecting consumer IoT devices through the lens of an ISP” ANRW ’21: Proceedings of the Applied Networking Research Workshop, 2021. DOI: 10.1145/3472305.3472885

  • When Speakers Are All Ears: Characterizing Misactivations of IoT Smart Speakers

    Citation: Dubois, D. J., Kolcun, R., Mandalari, A. M., Paracha, M. T., Choffnes, D., & Haddadi, H. (2020). When speakers are all ears: Characterizing misactivations of iot smart speakers. Proceedings on Privacy Enhancing Technologies, 2020(4), 255–276. https://doi.org/10.2478/popets-2020-0072

  • A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild

    Citation: Said Jawad Saidi, Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois, David Choffnes, Georgios Smaragdakis, Anja Feldmann. 2020. A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild. In Internet Measurement Conference (IMC ’20), October 27–29, 2020, Virtual Event, USA. ACM, New York, NY, USA, 14 pages. hŠps://doi.org/10.1145/3419394.3423650

  • Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic

    Citation: van Ede T, Bortolameotti R, Continella A, Ren J, Dubois DJ, Lindorfer M, Choffnes D, van Steen M, Peter A. "Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic". In Network and Distributed System Security Symposium (NDSS). 2020 Feb (Vol. 27). DOI: 10.14722/ndss.2020.24412

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