iSTAR

Network Security and Future Networks

Research

This area covers attacks on networks and connected devices and how to detect and limit them. Recent work includes an analysis of nearly 20 years of darknet traffic from the Merit Network Telescope and of the capture tools used to collect it, large-scale honey-nets, detecting drift between network intent and network behavior, eavesdropping and interference in Internet of Things (IoT) devices and defenses against them, machine-learning detection of attacks on industrial IoT, trust management for vehicular networks, and network slicing for Open Radio Access Network (O-RAN) and 6G systems.

Topics: network telescopes, honey-nets, IoT and industrial IoT security, O-RAN and 6G

People

Publications (11)

  1. Bridging High-Level Intent and Network Execution: Detecting Violations and Intent Drift Through Low-Level Traffic AnalysisTonia Haikal, Shereen Ismail, Eman HammadIEEE World AI IoT Congress (AIIoT), 2026
  2. A Framework for AI-Native Semantic-Based Dynamic Slicing for 6G NetworksMayukh Roy Chowdhury, Eman Hammad, Lauri Loven, Susanna Pirttikangas, Aloizio P Da Silva, Walid SaadarXiv preprint, 2025
  3. Merit Network Telescope: Processing and Initial Insights from Nearly 20 Years of Darknet Traffic for Cybersecurity ResearchShereen Ismail, Eman Hammad, William Hatcher, Salah Dandan, Ammar Alomari, Michael SprattIEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2025
  4. Reading Lips: An Analytical Framework for Adversarial Passive Detection of Wireless Traffic in IoT EcosystemsAbdallah Farraj, Eman HammadIEEE Access, 2025
  5. Characterizing Large-Scale Adversarial Activities Through Large-Scale Honey-NetsTonia Haikal, Eman Hammad, Shereen IsmailIEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2025
  6. A Comparative Study of Packet Capture Tools for Reliable Network Telescope Traffic CollectionShereen S. Ismail, Eman Hammad, Salah Dandan, William Hatcher, Ammar AlomariIEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2025
  7. Towards Holochain-Based Adaptive Trust Management in Social Internet of VehiclesShereen S. Ismail, Eman Hammad, Razi IqbalIEEE Annual Computing and Communication Workshop and Conference (CCWC), 2025
  8. Enhancing Cybersecurity in Industrial Internet of Things: Machine Learning-Based Approaches for Cyber-Attack Detection in a Realworld Testbed EnvironmentCayden Scott Cather, Eman Hammad, Yuehua WangCommunications in Computer and Information Science (Springer), 2025
  9. Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things EnvironmentsAbdallah K. Farraj, Eman HammadComputers (MDPI), 2024
  10. Slice Profile Manager: O-RAN-Based Optimization of Slice Profiles using Reinforcement LearningJaswanth S. R. Mallu, Tarun Rao Keshabhoina, Eman Hammad, Aloizio Da SilvaIEEE Future Networks World Forum (FNWF), 2024
  11. A Physical-Layer Security Cooperative Framework for Mitigating Interference and Eavesdropping Attacks in Internet of Things EnvironmentsAbdallah K. Farraj, Eman HammadSensors (MDPI), 2024