Diogo Barradas

I am a 5th year doctoral student of Information Systems and Computer Engineering at Instituto Superior Técnico (IST) - Universidade de Lisboa, being kindly co-advised by Prof. Luís Rodrigues and Prof. Nuno Santos. I conduct my research at the Distributed Systems Group at INESC-ID Lisboa.

Research Interests

My research is focused in network security and privacy, with particular emphasis on statistical traffic analysis and Internet censorship circumvention. I take additional interest in digital forensics.

Publications

Refereed Conference Publications

  • FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications.
    (NDSS 2021) [To appear]
    Diogo Barradas, Nuno Santos, Luís Rodrigues, Salvatore Signorello, Fernando Ramos, André Madeira.
  • Poking a Hole in the Wall: Efficient Censorship-Resistant Internet Communications by Parasitizing on WebRTC.
    (ACM SIGSAC CCS 2020)
    Diogo Barradas, Nuno Santos, Luís Rodrigues, Vítor Nunes.
  • Effective Detection of Multimedia Protocol Tunneling using Machine Learning.
    (USENIX Security 2018)
    Diogo Barradas, Nuno Santos, Luís Rodrigues.
  • Forensic Analysis of Communication Records of Web-based Messaging Applications from Physical Memory.
    (SECRYPT 2017)
    Diogo Barradas, Tiago Brito, David Duarte, Nuno Santos, Luís Rodrigues.

Refereed Journal Publications

  • Forensic Analysis of Communication Records of Messaging Applications from Physical Memory.
    (Computers & Security, Elsevier, 2018)
    Diogo Barradas, Tiago Brito, David Duarte, Nuno Santos, Luís Rodrigues.
  • DeltaShaper: Enabling Unobservable Censorship-resistant TCP Tunneling over Videoconferencing Streams.
    (PoPETS 2017)
    Diogo Barradas, Nuno Santos, Luís Rodrigues.

Refereed Workshop Publications

  • Towards a Scalable Censorship-Resistant Overlay Network based on WebRTC Covert Channels.
    (DICG 2020 Workshop @ ACM/IFIP Middleware'20)
    Diogo Barradas, Nuno Santos.
  • On the unobservability of multimedia-based covert channels for Internet censorship circumvention.
    (ISOC.PT ANRW 2020)
    Diogo Barradas, Nuno Santos, Luís Rodrigues.
    Best Research Paper and Internet Impact Acknowledge Mention
  • Assessing the Feasibility of Machine Learning to Detect Network Covert Channels.
    (EuroSys Doctoral Workshop 2018)
    Diogo Barradas.

Refereed National Conference Publications

  • Identificação de Canais Encobertos no Skype usando Esboços em SDNs.
    (INForum 2019)
    André Madeira, Diogo Barradas, Nuno Santos, Luís Rodrigues.
    Best paper award
  • Síntese de Vídeo para Evasão de Censura na Internet.
    (INForum 2016)
    Diogo Barradas, Nuno Santos, Luís Rodrigues.

Thesis

  • Unobservable Covert Streaming for Internet Censorship Circumvention.
    Diogo Barradas (supervised by Professors Luís Rodrigues and Nuno Santos)
    MSc. Thesis, IST, Universidade de Lisboa, September 2016.

Additional Experience

  • 2020 Short-Term Research Scholar at Carnegie Mellon University (Fev-Aug)
    I'm collaborating with Professor Nicolas Christin at CMU's CyLab Security & Privacy Institute. My research project focuses on the measurement and understading of Internet censorship conducted by state-level actors.
  • 2019 - 2017 Teaching Assistant - Instituto Superior Técnico
    2018/19 Fall Semester - Forensics Cyber-Security
    2017/18 Fall Semester - Network and Computer Security
  • 2018 CRYPTACUS Training School
    I have attended the Training School on Cryptanalysis of Ubiquitous Computing Systems. The program has focused the assessment of theoretical and practical cryptographic mechanisms designed to ensure security and privacy.
  • 2017 Summer Internship in Advanced Computing Research at the University of Texas at Austin
    I have studied the application of machine learning techniques to the problem of gesture recognition. My internship was supervised by Professor Lili Qiu.

Contact

Location:

INESC-ID Lisboa
Rua Alves Redol Nº 9
Room 501
1000-029, Lisboa, Portugal