An Exploratory Study of Macro Co-changes. - Fehmi Jaafar; Yann-Gaël Guéhéneuc; Sylvie Hamel; Giuliano Antoniol (WCRE, 2011)

On the analysis of evolution of software artefacts and programs. - Fehmi Jaafar (ICSE, 2012)

On the Relationship between Program Evolution and Fault-Proneness: An Empirical Study. - Fehmi Jaafar; Salima Hassaine; Yann-Gaël Guéhéneuc; Sylvie Hamel; Bram Adams (CSMR, 2013)

Leveraging historical co-change information for requirements traceability. - Nasir Ali; Fehmi Jaafar; Ahmed E. Hassan (WCRE, 2013)

Mining the relationship between anti-patterns dependencies and fault-proneness. - Fehmi Jaafar; Yann-Gaël Guéhéneuc; Sylvie Hamel; Foutse Khomh (WCRE, 2013)

Analysing Anti-patterns Static Relationships with Design Patterns. - Fehmi Jaafar; Yann-Gaël Guéhéneuc; Sylvie Hamel; Foutse Khomh (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2013)

Anti-pattern Mutations and Fault-proneness. - Fehmi Jaafar; Foutse Khomh; Yann-Gaël Guéhéneuc; Mohammad Zulkernine (QSIC, 2014)

Clones and Macro co-changes. - Angela Lozano; Fehmi Jaafar; Kim Mens; Yann-Gaël Guéhéneuc (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2014)

Detecting asynchrony and dephase change patterns by mining software repositories. - Fehmi Jaafar; Yann-Gaël Guéhéneuc; Sylvie Hamel; Giuliano Antoniol (J. Softw. Evol. Process., 2014)

A slow read attack using cloud. - Darine Ameyed; Fehmi Jaafar; Jaouhar Fattahi (ECAI, 2015)

FCFraud: Fighting Click-Fraud from the User Side. - Md. Shahrear Iqbal; Mohammad Zulkernine; Fehmi Jaafar; Yuan Gu (HASE, 2016)

A Systematic Approach for Privilege Escalation Prevention. - Fehmi Jaafar; Gabriela Nicolescu; Christian Richard (QRS Companion, 2016)

Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults. - Fehmi Jaafar; Yann-Gaël Guéhéneuc; Sylvie Hamel; Foutse Khomh; Mohammad Zulkernine (Empir. Softw. Eng., 2016)

An Automatic Software Vulnerability Classification Framework. - Maryam Davari; Mohammad Zulkernine; Fehmi Jaafar (ICSSA, 2017)

An Integrated Architecture for IoT Fingerprinting. - Fehmi Jaafar (QRS Companion, 2017)

On the Analysis of Co-Occurrence of Anti-Patterns and Clones. - Fehmi Jaafar; Angela Lozano; Yann-Gaël Guéhéneuc; Kim Mens (QRS, 2017)

Analyzing software evolution and quality by extracting Asynchrony change patterns. - Fehmi Jaafar; Angela Lozano; Yann-Gaël Guéhéneuc; Kim Mens (J. Syst. Softw., 2017)

Analysis of Overhead Caused by Security Mechanisms in IaaS Cloud. - Gurjot Balraj Singh; Fehmi Jaafar; Sergey Butakov (CoDIT, 2018)

Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms? - Caesar Jude Clemente; Fehmi Jaafar; Yasir Malik (QRS, 2018)

An Analysis of Android Malware Behavior. - Fehmi Jaafar; Gagandeep Singh; Pavol Zavarsky (QRS Companion, 2018)

Information Security Considerations for Wireless Infusion Pumps. - Pooja Rajendraprasad; Sergey Butakov; Fehmi Jaafar (QRS Companion, 2018)

Detecting Blind Cross-Site Scripting Attacks Using Machine Learning. - Gurpreet Kaur; Yasir Malik; Hamman Samuel; Fehmi Jaafar (SPML, 2018)

Using Probabilistic Temporal Logic PCTL and Model Checking for Context Prediction. - Darine Ameyed; Moeiz Miraoui; Atef Zaguia; Fehmi Jaafar; Chakib Tadj (Comput. Informatics, 2018)

Protecting Internet users from becoming victimized attackers of click-fraud. - Md. Shahrear Iqbal; Mohammad Zulkernine; Fehmi Jaafar; Yuan Gu (J. Softw. Evol. Process., 2018)

Low-Rate DoS Attack Detection Using PSD Based Entropy and Machine Learning. - Naiji Zhang; Fehmi Jaafar; Yasir Malik (CSCloud/EdgeCom, 2019)

Private Blockchain Network for IoT Device Firmware Integrity Verification and Update. - Samip Dhakal; Fehmi Jaafar; Pavol Zavarsky (HASE, 2019)

Study of Trust at Device Level of the Internet of Things Architecture. - Tunde Akeem Yekini; Fehmi Jaafar; Pavol Zavarsky (HASE, 2019)

Lightweight authentication for MQTT to improve the security of IoT communication. - Ranbir Singh Bali; Fehmi Jaafar; Pavol Zavarsky (ICCSP, 2019)

Knowledge Extraction and Integration for Information Gathering in Penetration Testing. - Anis Kothia; Bobby Swar; Fehmi Jaafar (QRS Companion, 2019)

Detecting Android Security Vulnerabilities Using Machine Learning and System Calls Analysis. - Yasir Malik; Carlos Renato Salim Campos; Fehmi Jaafar (QRS Companion, 2019)

Demystifying the Cyber Attribution: An Exploratory Study. - Fehmi Jaafar; Florent Avellaneda; El Hachemi Alikacem (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Behavioral Study of Malware Affecting Financial Institutions and Clients. - Ruchi Mishra; Sergey Butakov; Fehmi Jaafar; Neelam Memon (DASC/PiCom/CBDCom/CyberSciTech, 2020)

A Preliminary Systematic Mapping on Software Engineering for Robotic Systems: A Software Quality Perspective. - Marcela G. dos Santos; Bianca Minetto Napoleão; Fábio Petrillo; Darine Ameyed; Fehmi Jaafar (ICSE (Workshops), 2020)

On the Impact of Inter-language Dependencies in Multi-language Systems. - Manel Grichi; Mouna Abidi; Fehmi Jaafar; Ellis E. Eghan; Bram Adams (QRS, 2020)

Internet of Things Architectures: A Comparative Study. - Marcela G. dos Santos; Darine Ameyed; Fábio Petrillo; Fehmi Jaafar; Mohamed Cheriet (CoRR, 2020)

Blockchain Based Model for Consent Management and Data Transparency Assurance. - Darine Ameyed; Fehmi Jaafar; Francis Charette Migneault; Mohamed Cheriet (QRS Companion, 2021)

Identification of Compromised IoT Devices: Combined Approach Based on Energy Consumption and Network Traffic Analysis. - Fehmi Jaafar; Darine Ameyed; Amine Barrak; Mohamed Cheriet (QRS, 2021)

Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness. - Zeinab Azadeh Kermansaravi; Md. Saidur Rahman 002; Foutse Khomh; Fehmi Jaafar; Yann-Gaël Guéhéneuc (Empir. Softw. Eng., 2021)

On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI). - Manel Grichi; Mouna Abidi; Fehmi Jaafar; Ellis E. Eghan; Bram Adams (IEEE Trans. Reliab., 2021)

Enhancing Biometric Security with Combinatorial and Permutational Multi-Fingerprint Authentication Strategies. - Pratibha Singh; Hamman Samuel; Fehmi Jaafar; Darine Ameyed (DASC/PiCom/CBDCom/CyberSciTech, 2022)

On Securing the Communication in IoT Infrastructure using Elliptic Curve Cryptography. - Hugo Bourreau; Emeric Guichet; Amine Barrak; Benoît Simon; Fehmi Jaafar (QRS Companion, 2022)

Serverless on Machine Learning: A Systematic Mapping Study. - Amine Barrak; Fábio Petrillo; Fehmi Jaafar (IEEE Access, 2022)

Blockchain-Based Consent Management for Privacy Persevering and Transparency in Intelligent Surveillance Systems. - Fehmi Jaafar; Darine Amayed; Wissam Salhab; Hajer Bouani; Mohamed Cheriet (BCCA, 2023)

A Privacy-Preserving Federated Learning for IoT Intrusion Detection System. - Riadh Ben Chaabene; Darine Ameyed; Fehmi Jaafar; Alexis Roger; Esma Aïmeur; Mohamed Cheriet (CoDIT, 2023)

An Explainable Artificial Intelligence Approach for a Trustworthy Spam Detection. - Abubakr Ibrahim; Mohamed Mejri; Fehmi Jaafar (CSR, 2023)

Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. - Amine Barrak; Ranim Trabelsi; Fehmi Jaafar; Fábio Petrillo (IC2E, 2023)

SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. - Amine Barrak; Mayssa Jaziri; Ranim Trabelsi; Fehmi Jaafar; Fábio Petrillo (QRS, 2023)

IoT Phishing Detection Using Hybrid NLP and Machine Learning Models Enhanced with Contextual Embedding. - Fehmi Jaafar; Darine Ameyed; Lavin Titare; Md Nematullah (QRS Companion, 2023)

Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance. - Amine Barrak; Fábio Petrillo; Fehmi Jaafar (CoRR, 2023)

Quality and Security Frameworks for IoT-Architecture Models Evaluation. - Darine Ameyed; Fehmi Jaafar; Fábio Petrillo; Mohamed Cheriet (SN Comput. Sci., 2023)

Detecting and Mitigating Adversarial Perturbations to Improve E-Commerce Security. - Usman Tariq; Fehmi Jaafar; Yasir Malik (BDCAT, 2024)

On Securing Sensitive Data Using Deep Convolutional Autoencoders. - Abib Sy; Fehmi Jaafar; Kevin Bouchard (CoDIT, 2024)

Securing AWS Lambda: Advanced Strategies and Best Practices. - Amine Barrak; Gildas Fofe; Léo Mackowiak; Emmanuel Kouam; Fehmi Jaafar (CSCloud, 2024)

Can Deep Learning Detect Fake News Better when Adding Context Features? - Rachel Ladouceur; Abubakr Hassan; Mohamed Mejri; Fehmi Jaafar (CSR, 2024)

Wiki-IoT: Registering and Evaluating the Security and Resilience of Internet of Things and Connected Devices Using a Collaborative Platform. - Jean Decian; Fehmi Jaafar (DASC, 2024)

Benchmarking Deep Learning Algorithms for Intrusion Detection IoT Networks. - Hoummady Enzo; Fehmi Jaafar (DASC, 2024)

Enhancing RAG-Retrieval to Improve LLMs Robustness and Resilience to Hallucinations. - Chaima Njeh; Haïfa Nakouri; Fehmi Jaafar (HAIS (2), 2024)

Detection of Abnormal Activities in a Crowd Video Surveillance using Contextual Information. - Fehmi Jaafar; Mohamed Aziz Chabchoub; Darine Ameyed (ICMIP, 2024)

Ensuring the Integrity, Confidentiality, and Availability of IoT Data in Industry 5.0: A Systematic Mapping Study. - Kerson Boisrond; Pierre-Martin Tardif; Fehmi Jaafar (IEEE Access, 2024)

A Systematic Literature Review on AI Safety: Identifying Trends, Challenges, and Future Directions. - Wissam Salhab; Darine Ameyed; Fehmi Jaafar; Hamid Mcheick (IEEE Access, 2024)

Towards Robust Artificial Intelligence: Self-supervised Learning Approach for Out-of-Distribution Detection. - Wissam Salhab; Darine Ameyed; Hamid Mcheick; Fehmi Jaafar (ARES (Workshops 1), 2025)

SafetilBERT: an efficient and explained LLM for IoMT attacks classification. - Mamadou Niang; Haïfa Nakouri; Fehmi Jaafar (CSR, 2025)

A Hybrid Approach to Improve the Intrusion Detection Systems Using Generative Artificial Intelligence and Deep Reinforcement Learning. - Ines Ben Makhlouf; Ghassen Kilani; Fehmi Jaafar; Haïfa Nakouri (SECRYPT, 2025)

Dependable Software-Optimized Energy Management for IoT-Enabled Smart Buildings. - Aycha Abid; Amine Barrak; Issouf Bakayoko; Fehmi Jaafar; David Rancourt (SERP4IoT, 2025)

A systematic review of generative AI approaches for medical image enhancement: Comparing GANs, transformers, and diffusion models. - Chaimaa Oulmalme; Haïfa Nakouri; Fehmi Jaafar (Int. J. Medical Informatics, 2025)

A Data-centric approach for safe and secure large language models against threatening and toxic content. - Chaima Njeh; Haïfa Nakouri; Fehmi Jaafar (Int. J. Inf. Sec., 2025)