publications

Publications by Ran Dubin spanning AI Model Security, Encrypted Traffic Analysis, API Security, Content Disarm & Reconstruction, and Network Anomaly Detection.

Google Scholar DBLP ByteDefend Lab

Research Focus Areas

🤖
AI Model Security
SafePickle · NeuPerm · MTD · CDR
8 papers
🔒
Encrypted Traffic
TLS · HTTPS · QUIC · Post-Quantum
11 papers
🔑
API Security
Few-Shot Detection · Injection
2 papers
🛡️
CDR
PDF · RTF · Image · AI Models
5 papers
📡
Network Anomaly
GNN · Cloud · Malware C2
4 papers

2026

  1. Ultra-Fast Throughput Estimation Based on Intelligent Network Sampling
    Rivka Buskila, Amit Waizman Israel, and Ran Dubin
    In IEEE Consumer Communications & Networking Conference (CCNC), 2026
    HTML
  2. Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services’ User Anomalies
    Revital Marbel, Yanir Cohen, Ran Dubin, and 2 more authors
    In IEEE Consumer Communications & Networking Conference (CCNC), 2026
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  3. SafePickle: Robust and Generic ML Detection of Malicious Pickle-based ML Models
    Hillel Ohayon, Daniel Gilkarov, and Ran Dubin
    arXiv preprint arXiv:2602.19818, 2026
    arXiv HTML

2025

  1. A Classification-by-Retrieval Framework for Few-Shot Anomaly Detection to Detect API Injection
    Udi Aharon, Ran Dubin, Amit Dvir, and 1 more author
    Computers & Security, 2025
    HTML
  2. AI-MTD: Zero-Trust Artificial Intelligence Model Security Based on Moving Target Defense
    Daniel Gilkarov, and Ran Dubin
    In Federated Conference on Computer Science and Information Systems (FedCSIS), 2025
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  3. PQClass: Classification of Post-Quantum Encryption Applications in Internet Traffic
    Angelos K. Marnerides, Chen Hajaj, Revital Marbel, and 2 more authors
    In IEEE International Conference on Communications (ICC), 2025
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  4. A New D-MAGIC: Dynamic Model for Cybersecurity Attack Detection Using GNNs into Clustering
    Zohar Simhon, Matan Weiss, Chen Hajaj, and 3 more authors
    In IEEE International Conference on Communications (ICC), 2025
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  5. Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques
    Yehonatan Zion, Porat Aharon, Ran Dubin, and 2 more authors
    In IEEE International Conference on Communications (ICC), 2025
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  6. Optimized File Type Detection and One-Shot Retrieval
    Simona Lisker, Ayelet Butman, Chen Hajaj, and 2 more authors
    In IEEE International Conference on Communications (ICC), 2025
    HTML
  7. Zero-Trust Artificial Intelligence Model Security Based on Moving Target Defense and Content Disarm and Reconstruction
    Daniel Gilkarov, and Ran Dubin
    arXiv preprint arXiv:2503.01758, 2025
    arXiv HTML
  8. NeuPerm: Disrupting Malware Hidden in Neural Network Parameters by Leveraging Permutation Symmetry
    Daniel Gilkarov, and Ran Dubin
    arXiv preprint arXiv:2510.20367, 2025
    arXiv HTML

2024

  1. Model X-Ray: Detection of Hidden Malware in AI Model Weights Using Few Shot Learning
    Daniel Gilkarov, and Ran Dubin
    arXiv preprint arXiv:2409.19310, 2024
    arXiv HTML

2023

  1. When a RF Beats a CNN and GRU, Together—A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification
    Adi Lichy, Ofek Bader, Ran Dubin, and 2 more authors
    Computers & Security, 2023
    HTML
  2. Content Disarm and Reconstruction of PDF Files
    Ran Dubin
    IEEE Access, 2023
    HTML
  3. Content Disarm and Reconstruction of RTF Files: A Zero File Trust Methodology
    Ran Dubin
    IEEE Transactions on Information Forensics and Security, 2023
    HTML
  4. Disarming Attacks Inside Neural Network Models
    Ran Dubin
    IEEE Access, 2023
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2022

  1. MalDIST: From Encrypted Traffic Classification to Malware Traffic Detection and Classification
    Ofek Bader, Adi Lichy, Chen Hajaj, and 2 more authors
    In IEEE Consumer Communications & Networking Conference (CCNC), 2022
    HTML

2020

  1. Encrypted Video Traffic Clustering Demystified
    Amit Dvir, Angelos K. Marnerides, Ran Dubin, and 2 more authors
    Computers & Security, 2020
    HTML

2019

  1. Clustering the Unknown—The YouTube Case
    Amit Dvir, Angelos K. Marnerides, Ran Dubin, and 1 more author
    In IEEE International Conference on Computing, Networking and Communications (ICNC), 2019
    HTML
  2. A Fair Server Adaptation Algorithm for HTTP Adaptive Streaming Using Video Complexity
    Ran Dubin, Raffael Shalala, Amit Dvir, and 2 more authors
    Multimedia Tools and Applications, 2019
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2018

  1. Video Quality Representation Classification of Encrypted HTTP Adaptive Video Streaming
    Ran Dubin, Ofer Hadar, Amit Dvir, and 1 more author
    KSII Transactions on Internet and Information Systems, 2018
    HTML
  2. Adaptation Logic for HTTP Dynamic Adaptive Streaming Using Geo-Predictive Crowdsourcing for Mobile Users
    Ran Dubin, Amit Dvir, Ofir Pele, and 3 more authors
    Multimedia Systems, 2018
    HTML
  3. Video QoE Prediction Based on User Profile
    Raffael Shalala, Ran Dubin, Ofer Hadar, and 1 more author
    In IEEE International Conference on Computing, Networking and Communications (ICNC), 2018
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2017

  1. I Know What You Saw Last Minute—Encrypted HTTP Adaptive Video Streaming Title Classification
    Ran Dubin, Amit Dvir, Ofir Pele, and 1 more author
    IEEE Transactions on Information Forensics and Security, 2017
    HTML
  2. Analyzing HTTPS Encrypted Traffic to Identify User’s Operating System, Browser and Application
    Jonathan Muehlstein, Yehonatan Zion, Maor Bahumi, and 4 more authors
    In IEEE Consumer Communications & Networking Conference (CCNC), 2017
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