Intrusion detection mechanisms for VoIP applications - Mohamed El Baker Nassar; Radu State; Olivier Festor (CoRR, 2006)

IBGP Confederation Provisioning. - Mohamed Nassar 001; Radu State; Olivier Festor (AIMS, 2007)

VoIP Honeypot Architecture. - Mohamed Nassar 001; Radu State; Olivier Festor (Integrated Network Management, 2007)

Holistic VoIP intrusion detection and prevention system. - Mohamed Nassar 001; Saverio Niccolini; Radu State; Thilo Ewald (IPTComm, 2007)

Monitoring SIP Traffic Using Support Vector Machines. - Mohamed Nassar 001; Radu State; Olivier Festor (RAID, 2008)

VoIP Malware: Attack Tool & Attack Scenarios. - Mohamed Nassar 001; Radu State; Olivier Festor (ICC, 2009)

VoIP Networks Monitoring and Intrusion Detection. (Monitorage et Détection d'Intrusion dans les Réseaux Voix sur IP). - Mohamed Nassar 001 (2009)

Risk management in VoIP infrastructures using support vector machines. - Mohamed Nassar 001; Oussema Dabbebi; Remi Badonnel; Olivier Festor (CNSM, 2010)

Labeled VoIP Data-Set for Intrusion Detection Evaluation. - Mohamed Nassar 001; Radu State; Olivier Festor (EUNICE, 2010)

A Framework for Monitoring SIP Enterprise Networks. - Mohamed Nassar 001; Radu State; Olivier Festor (NSS, 2010)

Artemisa: An open-source honeypot back-end to support security in VoIP domains. - Rodrigo do Carmo; Mohamed Nassar 001; Olivier Festor (Integrated Network Management, 2011)

Using decision trees for generating adaptive SPIT signatures. - Mohamed Nassar 001; Sylvain Martin; Guy Leduc; Olivier Festor (SIN, 2011)

A survey on fraud and service misuse in voice over IP (VoIP) networks. - Yacine Rebahi; Mohamed Nassar 001; Thomas Magedanz; Olivier Festor (Inf. Secur. Tech. Rep., 2011)

RPig: A scalable framework for machine learning and advanced statistical functionalities. - MingXue Wang; Sidath B. Handurukande; Mohamed Nassar 001 (CloudCom, 2012)

Secure Outsourcing of Matrix Operations as a Service. - Mohamed Nassar 001; Abdelkarim Erradi; Farida Sabry; Qutaibah M. Malluhi (IEEE CLOUD, 2013)

Secure Outsourcing of Network Flow Data Analysis. - Mohamed Nassar 001; Bechara al Bouna; Qutaibah M. Malluhi (BigData Congress, 2013)

Practical and Secure Outsourcing of Matrix Computations to the Cloud. - Mohamed Nassar 001; Abdelkarim Erradi; Qutaibah M. Malluhi (ICDCS Workshops, 2013)

Secure and Private Outsourcing of Shape-Based Feature Extraction. - Shumiao Wang; Mohamed Nassar 001; Mikhail J. Atallah; Qutaibah M. Malluhi (ICICS, 2013)

Outbound SPIT filter with optimal performance guarantees. - Tobias Jung; Sylvain Martin; Mohamed Nassar 001; Damien Ernst; Guy Leduc (Comput. Networks, 2013)

A Model Driven Framework for Secure Outsourcing of Computation to the Cloud. - Mohamed Nassar 001; Abdelkarim Erradi; Farida Sabry; Qutaibah M. Malluhi (IEEE CLOUD, 2014)

Automatic Generation of Optimized Workflow for Distributed Computations on Large-Scale Matrices. - Farida Sabry; Abdelkarim Erradi; Mohamed Nassar 001; Qutaibah M. Malluhi (ICSOC, 2014)

An SQL-like query tool for data anonymization and outsourcing. - Mohamed Nassar 001; Adel Al-Rahal Orabi; Marwan Doha; Bechara al Bouna (CyberSA, 2015)

A Domain Specific Language for Secure Outsourcing of Computation to the Cloud. - Mohamed Nassar 001; Abdelkarim Erradi; Qutaibah M. Malluhi (EDOC, 2015)

K-NN Classification under Homomorphic Encryption: Application on a Labeled Eigen Faces Dataset. - Mohamed Nassar 001; Nathalie Wehbe; Bechara al Bouna (CSE/EUC/DCABES, 2016)

On the Evaluation of the Privacy Breach in Disassociated Set-valued Datasets. - Sara Barakat; Bechara al Bouna; Mohamed Nassar 001; Christophe Guyeux (SECRYPT, 2016)

Reconfigurable and Adaptive Spark Applications. - Mohamad Jaber 001; Mohamed Nassar 001; Wael Al Rahal Al Orabi; Bilal Abi Farraj; Mohamad Omar Kayali; Chadi Helwe (CLOSER, 2017)

Correctness-by-Learning of Infinite-State Component-Based Systems. - Haitham Bou-Ammar; Mohamad Jaber 001; Mohamed Nassar 001 (FACS, 2017)

Protecting from Cloud-based SIP flooding attacks by leveraging temporal and structural fingerprints. - Khaled Dassouki; Haïdar Safa; Mohamed Nassar 001; Abbas Hijazi (Comput. Secur., 2017)

A Scheme for Three-way Secure and Verifiable E-Voting. - Mohamed Nassar 001; Qutaibah M. Malluhi; Tanveer Khan (AICCSA, 2018)

Throttling Malware Families in 2D. - Mohamed Nassar 001; Haïdar Safa (AIMS, 2018)

Modeling Malware as a Language. - Yara Awad; Mohamed Nassar 001; Haïdar Safa (ICC, 2018)

A Look into Privacy-Preserving Blockchains. - Nida Khan; Mohamed Nassar 001 (AICCSA, 2019)

Shoplifting Smart Stores using Adversarial Machine Learning. - Mohamed Nassar 001; Abdallah Itani; Mahmoud Karout; Mohamad El Baba; Omar Al Samman Kaakaji (AICCSA, 2019)

Transfer learning for malware multi-classification. - Mohamad Al Kadri; Mohamed Nassar 001; Haïdar Safa (IDEAS, 2019)

sElect: secure election as a service. - Mohamed Nassar 001; Bassel Rawda; Mohamed Mardini (IDEAS, 2019)

Chi squared feature selection over Apache Spark. - Mohamed Nassar 001; Haïdar Safa; Alaa Al Mutawa; Ahmed Helal; Iskander Gaba (IDEAS, 2019)

Benchmarking Convolutional and Recurrent Neural Networks for Malware Classification. - Haïdar Safa; Mohamed Nassar 001; Wael Al Rahal Al Orabi (IWCMC, 2019)

A Practical Scheme for Two-Party Private Linear Least Squares. - Mohamed Nassar 001 (CoRR, 2019)

Securing Aggregate Queries for DNA Databases. - Mohamed Nassar 001; Qutaibah M. Malluhi; Mikhail J. Atallah; Abdullatif Shikfa (IEEE Trans. Cloud Comput., 2019)

VIP Blowfish Privacy in Communication Graphs. - Mohamed Nassar 001; Elie Chicha; Bechara al Bouna; Richard Chbeir (ICETE (2), 2020)

A Hybrid Game Theory and Reinforcement Learning Approach for Cyber-Physical Systems Security. - Joseph Khoury; Mohamed Nassar 001 (NOMS, 2020)

Blockchain for explainable and trustworthy artificial intelligence. - Mohamed Nassar 001; Khaled Salah 001; Muhammad Habib Ur Rehman; Davor Svetinovic (WIREs Data Mining Knowl. Discov., 2020)

On Exploring the Sub-domain of Artificial Intelligence (AI) Model Forensics. - Tiffanie Edwards; Syria McCullough; Mohamed Nassar 001; Ibrahim M. Baggili (ICDF2C, 2021)

Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning. - Doha Al Bared; Mohamed Nassar 001 (MENACOMM, 2021)

Game Theoretical Model for Cybersecurity Risk Assessment of Industrial Control Systems. - Mohamed Nassar 001; Joseph Khoury; Abdelkarim Erradi; Elias Bou-Harb (NTMS, 2021)

Hack The Box: Fooling Deep Learning Abstraction-Based Monitors. - Sara Hajj Ibrahim; Mohamed Nassar 001 (CoRR, 2021)

A User-Centric Mechanism for Sequentially Releasing Graph Datasets under Blowfish Privacy. - Elie Chicha; Bechara al Bouna; Mohamed Nassar 001; Richard Chbeir; Ramzi A. Haraty; Mourad Oussalah 002; Djamal Benslimane; Mansour Naser Alraja (ACM Trans. Internet Techn., 2021)

On the security of deep learning novelty detection. - Sara Al Hajj Ibrahim; Mohamed Nassar 001 (Expert Syst. Appl., 2022)

Toward Hardware-Assisted Malware Detection Utilizing Explainable Machine Learning: A Survey. - Yehya Nasser; Mohamed Nassar 001 (IEEE Access, 2023)

Cloud-based differentially private image classification. - Elie Chicha; Bechara al Bouna; Mohamed Nassar 001; Richard Chbeir (Wirel. Networks, 2023)

Introducing Residual Networks to Vision Transformers for Adversarial Attacks. - Maher Jaber; Sayda Elmi; Mohamed Nassar 001; Wassim El-Hajj (KES, 2024)