| 2025 | ACSAC | MudHunter: Internet-Scale DNS Cache Snooping for Cyber Threat Intelligence. | Bassel Succar, Joseph Khoury, Antonia Affinito, Elias Bou-Harb |
| 2025 | NOMS | Enhancing Network Security Management in Water Systems using FM-based Attack Attribution. | Aleksandar Avdalovic, Joseph Khoury, Ahmad F. Taha, Elias Bou-Harb |
| 2024 | DSN | Empowering Data Centers with Computational Storage Drive-Based Deep Learning Inference Functionality to Combat Ransomware. | Kurt Friday, Elias Bou-Harb, Ron Lee, Pramod Peethambaran, Mayank Saxena |
| 2024 | NCA | DCPsolver: Enhancing DNS Cache Poisoning Defenses with Resolver-Based SmartNICs. | Bharath Kollanur, Kurt Friday, Elias Bou-Harb |
| 2024 | SP | Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks. | Joseph Khoury, Dorde Klisura, Hadi Zanddizari, Gonzalo De La Torre Parra, Peyman Najafirad, Elias Bou-Harb |
| 2023 | ACNS | Federated Learning Approach for Distributed Ransomware Analysis. | Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno |
| 2023 | NDSS | ChargePrint: A Framework for Internet-Scale Discovery and Security Analysis of EV Charging Management Systems. | Tony Nasr, Sadegh Torabi, Elias Bou-Harb, Claude Fachkha, Chadi Assi |
| 2023 | NOMS | Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. | Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, Farooq Shaikh, Elias Bou-Harb, Morteza Safaei Pour, Jorge Crichigno |
| 2023 | WiMob | Helium-based IoT Devices: Threat Analysis and Internet-scale Exploitations. | Veronica Rammouz, Joseph Khoury, orde Klisura, Morteza Safaei Pour, Mostafa Safaei Pour, Claude Fachkha, Elias Bou-Harb |
| 2022 | AsiaCCS | EVOLIoT: A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants. | Mirabelle Dib, Sadegh Torabi, Elias Bou-Harb, Nizar Bouguila, Chadi Assi |
| 2022 | ESORICS | INC: In-Network Classification of Botnet Propagation at Line Rate. | Kurt Friday, Elie F. Kfoury, Elias Bou-Harb, Jorge Crichigno |
| 2022 | NDSS | Interpretable Federated Transformer Log Learning for Cloud Threat Forensics. | Gonzalo De La Torre Parra, Luis Selvera, Joseph Khoury, Hector Irizarry, Elias Bou-Harb, Paul Rad |
| 2022 | NOMS | HoneyComb: A Darknet-Centric Proactive Deception Technique For Curating IoT Malware Forensic Artifacts. | Morteza Safaei Pour, Joseph Khoury, Elias Bou-Harb |
| 2022 | NSS | A Learning Methodology for Line-Rate Ransomware Mitigation with P4 Switches. | Kurt Friday, Elias Bou-Harb, Jorge Crichigno |
| 2021 | DSN | Sanitizing the IoT Cyber Security Posture: An Operational CTI Feed Backed up by Internet Measurements. | Morteza Safaei Pour, Dylan Watson, Elias Bou-Harb |
| 2021 | GLOBECOM | Dynamic Router's Buffer Sizing using Passive Measurements and P4 Programmable Switches. | Elie F. Kfoury, Jorge Crichigno, Elias Bou-Harb, Gautam Srivastava |
| 2021 | ISPA | Revisiting IoT Fingerprinting behind a NAT. | Christelle Nader, Elias Bou-Harb |
| 2021 | IWCMC | A Multidimensional Network Forensics Investigation of a State-Sanctioned Internet Outage. | Antonio Mangino, Elias Bou-Harb |
| 2020 | NetSoft | Towards a Unified In-Network DDoS Detection and Mitigation Strategy. | Kurt Friday, Elie F. Kfoury, Elias Bou-Harb, Jorge Crichigno |
| 2018 | DSN | Inferring, Characterizing, and Investigating Internet-Scale Malicious IoT Device Activities: A Network Telescope Perspective. | Sadegh Torabi, Elias Bou-Harb, Chadi Assi, Mario Galluscio, Amine Boukhtouta, Mourad Debbabi |
| 2018 | GLOBECOM | Data-Driven Intelligence for Characterizing Internet-Scale IoT Exploitations. | Nataliia Neshenko, Martin Husk, Elias Bou-Harb, Pavel Celeda, Sameera Al-Mulla, Claude Fachkha |
| 2018 | IRI | Tackling Class Imbalance in Cyber Security Datasets. | Charles Wheelus, Elias Bou-Harb, Xingquan Zhu |
| 2018 | IWCMC | On Secrecy Bounds of MIMO Wiretap Channels with ZF detectors. | Long Kong, Georges Kaddoum, Daniel Benevides da Costa, Elias Bou-Harb |
| 2018 | IWCMC | On the Collaborative Inference of DDoS: An Information-theoretic Distributed Approach. | Fatima Ezzahra Ouerfelli, Khaled Barbaria, Elias Bou-Harb, Claude Fachkha, Belhassen Zouari |
| 2018 | IWCMC | A Machine Learning Model for Classifying Unsolicited IoT Devices by Observing Network Telescopes. | Farooq Shaikh, Elias Bou-Harb, Jorge Crichigno, Nasir Ghani |
| 2017 | IWCMC | On correlating network traffic for cyber threat intelligence: A Bloom filter approach. | Adil Atifi, Elias Bou-Harb |
| 2017 | NDSS | Internet-scale Probing of CPS: Inference, Characterization and Orchestration Analysis. | Claude Fachkha, Elias Bou-Harb, Anastasis Keliris, Nasir D. Memon, Mustaque Ahamad |
| 2017 | PIMRC | A first empirical look on internet-scale exploitations of IoT devices. | Mario Galluscio, Nataliia Neshenko, Elias Bou-Harb, Yongliang Huang, Nasir Ghani, Jorge Crichigno, Georges Kaddoum |
| 2014 | INFOCOM | Behavioral analytics for inferring large-scale orchestrated probing events. | Elias Bou-Harb, Mourad Debbabi, Chadi Assi |
| 2013 | IWCMC | On detecting and clustering distributed cyber scanning. | Elias Bou-Harb, Mourad Debbabi, Chadi Assi |
| 2013 | NCA | Towards a Forecasting Model for Distributed Denial of Service Activities. | Claude Fachkha, Elias Bou-Harb, Mourad Debbabi |
| 2012 | CRiSIS | Investigating the dark cyberspace: Profiling, threat-based analysis and correlation. | Claude Fachkha, Elias Bou-Harb, Amine Boukhtouta, Son Dinh, Farkhund Iqbal, Mourad Debbabi |