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ORCIDFehmi Jaafar
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2020 – today
- 2024
[j13]Kerson Boisrond
, Pierre-Martin Tardif, Fehmi Jaafar:
Ensuring the Integrity, Confidentiality, and Availability of IoT Data in Industry 5.0: A Systematic Mapping Study. IEEE Access 12: 107017-107045 (2024)- [j12]Wissam Salhab, Darine Ameyed, Fehmi Jaafar, Hamid Mcheick:
A Systematic Literature Review on AI Safety: Identifying Trends, Challenges, and Future Directions. IEEE Access 12: 131762-131784 (2024) - [c42]Abib Sy, Fehmi Jaafar, Kevin Bouchard:
On Securing Sensitive Data Using Deep Convolutional Autoencoders. CoDIT 2024: 1577-1583 - [c41]Amine Barrak, Gildas Fofe, Léo Mackowiak, Emmanuel Kouam, Fehmi Jaafar:
Securing AWS Lambda: Advanced Strategies and Best Practices. CSCloud 2024: 113-119 - [c40]Rachel Ladouceur, Abubakr Hassan, Mohamed Mejri, Fehmi Jaafar:
Can Deep Learning Detect Fake News Better when Adding Context Features? CSR 2024: 56-61 - [c39]Chaima Njeh, Haïfa Nakouri, Fehmi Jaafar:
Enhancing RAG-Retrieval to Improve LLMs Robustness and Resilience to Hallucinations. HAIS (2) 2024: 201-213 - [c38]Fehmi Jaafar, Mohamed Aziz Chabchoub, Darine Ameyed:
Detection of Abnormal Activities in a Crowd Video Surveillance using Contextual Information. ICMIP 2024: 31-38 - 2023
- [j11]Darine Ameyed, Fehmi Jaafar, Fábio Petrillo, Mohamed Cheriet:
Quality and Security Frameworks for IoT-Architecture Models Evaluation. SN Comput. Sci. 4(4): 394 (2023) - [c37]Fehmi Jaafar, Darine Amayed, Wissam Salhab, Hajer Bouani, Mohamed Cheriet:
Blockchain-Based Consent Management for Privacy Persevering and Transparency in Intelligent Surveillance Systems. BCCA 2023: 284-293 - [c36]Riadh Ben Chaabene, Darine Ameyed, Fehmi Jaafar, Alexis Roger, Esma Aïmeur, Mohamed Cheriet:
A Privacy-Preserving Federated Learning for IoT Intrusion Detection System. CoDIT 2023: 351-356 - [c35]Abubakr Ibrahim, Mohamed Mejri, Fehmi Jaafar:
An Explainable Artificial Intelligence Approach for a Trustworthy Spam Detection. CSR 2023: 160-167 - [c34]Amine Barrak, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. IC2E 2023: 141-152 - [c33]Fehmi Jaafar, Darine Ameyed, Lavin Titare, Md Nematullah:
IoT Phishing Detection Using Hybrid NLP and Machine Learning Models Enhanced with Contextual Embedding. QRS Companion 2023: 340-349 - [c32]Amine Barrak, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. QRS 2023: 650-661 - [i6]Amine Barrak, Fábio Petrillo, Fehmi Jaafar:
Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance. CoRR abs/2302.13995 (2023) - [i5]Amine Barrak, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. CoRR abs/2309.14139 (2023) - [i4]Amine Barrak, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. CoRR abs/2309.14148 (2023) - 2022
- [j10]Amine Barrak, Fábio Petrillo, Fehmi Jaafar:
Serverless on Machine Learning: A Systematic Mapping Study. IEEE Access 10: 99337-99352 (2022) - [c31]Pratibha Singh, Hamman Samuel, Fehmi Jaafar, Darine Ameyed:
Enhancing Biometric Security with Combinatorial and Permutational Multi-Fingerprint Authentication Strategies. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-7 - [c30]Hugo Bourreau, Emeric Guichet, Amine Barrak, Benoît Simon, Fehmi Jaafar:
On Securing the Communication in IoT Infrastructure using Elliptic Curve Cryptography. QRS Companion 2022: 758-759 - 2021
- [j9]Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc:
Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness. Empir. Softw. Eng. 26(1): 9 (2021) - [j8]Manel Grichi, Mouna Abidi, Fehmi Jaafar, Ellis E. Eghan, Bram Adams:
On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI). IEEE Trans. Reliab. 70(1): 428-440 (2021) - [c29]Fehmi Jaafar, Darine Ameyed, Amine Barrak, Mohamed Cheriet:
Identification of Compromised IoT Devices: Combined Approach Based on Energy Consumption and Network Traffic Analysis. QRS 2021: 514-523 - [c28]Darine Ameyed, Fehmi Jaafar, Francis Charette Migneault, Mohamed Cheriet:
Blockchain Based Model for Consent Management and Data Transparency Assurance. QRS Companion 2021: 1050-1059 - [i3]Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc:
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness. CoRR abs/2104.00058 (2021) - 2020
- [c27]Fehmi Jaafar, Florent Avellaneda, El Hachemi Alikacem:
Demystifying the Cyber Attribution: An Exploratory Study. DASC/PiCom/CBDCom/CyberSciTech 2020: 35-40 - [c26]Ruchi Mishra, Sergey Butakov, Fehmi Jaafar, Neelam Memon:
Behavioral Study of Malware Affecting Financial Institutions and Clients. DASC/PiCom/CBDCom/CyberSciTech 2020: 79-86 - [c25]Marcela G. dos Santos, Bianca Minetto Napoleão, Fábio Petrillo, Darine Ameyed, Fehmi Jaafar:
A Preliminary Systematic Mapping on Software Engineering for Robotic Systems: A Software Quality Perspective. ICSE (Workshops) 2020: 647-654 - [c24]Manel Grichi, Mouna Abidi, Fehmi Jaafar, Ellis E. Eghan, Bram Adams:
On the Impact of Inter-language Dependencies in Multi-language Systems. QRS 2020: 509 - [e1]Wanyang Dai, Xiangyang Hao, T. Ramayah, Fehmi Jaafar:
ICMIP 2020: 5th International Conference on Multimedia and Image Processing, Nanjing, China, January, 2020. ACM 2020, ISBN 978-1-4503-7664-8 [contents] - [i2]Marcela G. dos Santos, Darine Ameyed, Fábio Petrillo, Fehmi Jaafar, Mohamed Cheriet:
Internet of Things Architectures: A Comparative Study. CoRR abs/2004.12936 (2020)
2010 – 2019
- 2019
- [c23]Naiji Zhang, Fehmi Jaafar, Yasir Malik:
Low-Rate DoS Attack Detection Using PSD Based Entropy and Machine Learning. CSCloud/EdgeCom 2019: 59-62 - [c22]Tunde Akeem Yekini, Fehmi Jaafar, Pavol Zavarsky:
Study of Trust at Device Level of the Internet of Things Architecture. HASE 2019: 150-155 - [c21]Samip Dhakal, Fehmi Jaafar, Pavol Zavarsky:
Private Blockchain Network for IoT Device Firmware Integrity Verification and Update. HASE 2019: 164-170 - [c20]Ranbir Singh Bali, Fehmi Jaafar, Pavol Zavarsky:
Lightweight authentication for MQTT to improve the security of IoT communication. ICCSP 2019: 6-12 - [c19]Yasir Malik, Carlos Renato Salim Campos, Fehmi Jaafar:
Detecting Android Security Vulnerabilities Using Machine Learning and System Calls Analysis. QRS Companion 2019: 109-113 - [c18]Anis Kothia, Bobby Swar, Fehmi Jaafar:
Knowledge Extraction and Integration for Information Gathering in Penetration Testing. QRS Companion 2019: 330-335 - 2018
- [j7]Darine Ameyed, Moeiz Miraoui, Atef Zaguia, Fehmi Jaafar, Chakib Tadj:
Using Probabilistic Temporal Logic PCTL and Model Checking for Context Prediction. Comput. Informatics 37(6): 1411-1442 (2018) - [j6]Md. Shahrear Iqbal, Mohammad Zulkernine, Fehmi Jaafar, Yuan Gu:
Protecting Internet users from becoming victimized attackers of click-fraud. J. Softw. Evol. Process. 30(3) (2018) - [c17]Gurjot Balraj Singh, Fehmi Jaafar, Sergey Butakov:
Analysis of Overhead Caused by Security Mechanisms in IaaS Cloud. CoDIT 2018: 952-958 - [c16]Caesar Jude Clemente, Fehmi Jaafar, Yasir Malik:
Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms? QRS 2018: 95-102 - [c15]Pooja Rajendraprasad, Sergey Butakov, Fehmi Jaafar:
Information Security Considerations for Wireless Infusion Pumps. QRS Companion 2018: 438-442 - [c14]Fehmi Jaafar, Gagandeep Singh, Pavol Zavarsky:
An Analysis of Android Malware Behavior. QRS Companion 2018: 505-512 - [c13]Gurpreet Kaur, Yasir Malik, Hamman Samuel, Fehmi Jaafar:
Detecting Blind Cross-Site Scripting Attacks Using Machine Learning. SPML 2018: 22-25 - 2017
- [j5]Fehmi Jaafar, Angela Lozano, Yann-Gaël Guéhéneuc, Kim Mens:
Analyzing software evolution and quality by extracting Asynchrony change patterns. J. Syst. Softw. 131: 311-322 (2017) - [c12]Maryam Davari, Mohammad Zulkernine, Fehmi Jaafar:
An Automatic Software Vulnerability Classification Framework. ICSSA 2017: 44-49 - [c11]Fehmi Jaafar, Angela Lozano, Yann-Gaël Guéhéneuc, Kim Mens:
On the Analysis of Co-Occurrence of Anti-Patterns and Clones. QRS 2017: 274-284 - [c10]Fehmi Jaafar:
An Integrated Architecture for IoT Fingerprinting. QRS Companion 2017: 601-602 - [i1]Darine Ameyed, Fehmi Jaafar, Jaouhar Fattahi:
A Slow Read attack Using Cloud. CoRR abs/1712.01939 (2017) - 2016
- [j4]Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh, Mohammad Zulkernine:
Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults. Empir. Softw. Eng. 21(3): 896-931 (2016) - [c9]Md. Shahrear Iqbal, Mohammad Zulkernine, Fehmi Jaafar, Yuan Gu:
FCFraud: Fighting Click-Fraud from the User Side. HASE 2016: 157-164 - [c8]Fehmi Jaafar, Gabriela Nicolescu, Christian Richard:
A Systematic Approach for Privilege Escalation Prevention. QRS Companion 2016: 101-108 - 2015
- [c7]Darine Ameyed, Fehmi Jaafar, Jaouhar Fattahi:
A slow read attack using cloud. ECAI 2015 - 2014
- [j3]Angela Lozano, Fehmi Jaafar, Kim Mens, Yann-Gaël Guéhéneuc:
Clones and Macro co-changes. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 63 (2014) - [j2]Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Giuliano Antoniol:
Detecting asynchrony and dephase change patterns by mining software repositories. J. Softw. Evol. Process. 26(1): 77-106 (2014) - [c6]Fehmi Jaafar, Foutse Khomh, Yann-Gaël Guéhéneuc, Mohammad Zulkernine:
Anti-pattern Mutations and Fault-proneness. QSIC 2014: 246-255 - 2013
- [j1]Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh:
Analysing Anti-patterns Static Relationships with Design Patterns. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 59 (2013) - [c5]Fehmi Jaafar, Salima Hassaine, Yann-Gaël Guéhéneuc, Sylvie Hamel, Bram Adams:
On the Relationship between Program Evolution and Fault-Proneness: An Empirical Study. CSMR 2013: 15-24 - [c4]Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh:
Mining the relationship between anti-patterns dependencies and fault-proneness. WCRE 2013: 351-360 - [c3]Nasir Ali, Fehmi Jaafar, Ahmed E. Hassan:
Leveraging historical co-change information for requirements traceability. WCRE 2013: 361-370 - 2012
- [c2]Fehmi Jaafar:
On the analysis of evolution of software artefacts and programs. ICSE 2012: 1563-1566 - 2011
- [c1]Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Giuliano Antoniol:
An Exploratory Study of Macro Co-changes. WCRE 2011: 325-334
Coauthor Index
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last updated on 2024-11-14 00:52 CET by the dblp team
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