20255cites
Hybrid Deep Learning Model-Based Intrusion Detection System to Improve Artificial Internet of Things Against Cyber AttacksLecture notes on data engineering and communications technologies, Network Security and Intrusion Detection
Active, last published 2026
In network security and intrusion detection
Wafa
Mefteh
“Research focused on Network Security and Intrusion Detection and adjacent fields.”
Tunis El Manar UniversityTunisia
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Claim Your Profile01 · About the work
What I study
afa Mefteh is a researcher working on Network Security and Intrusion Detection. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Wafa's work has been cited 96 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Network Security and Intrusion Detection×8Multi-Agent Systems and Negotiation×7Advanced Malware Detection Techniques×6Simulation Techniques and Applications×4Anomaly Detection Techniques and Applications×4
06 · Where I am
Affiliations
CurrentlyTunis University, Tunisia
Research themes (UN SDGs)
07 · Selected work
Recent publications
View all 26 works2025
Scalable and generalizable AI-based intrusion detection in AIoT: a review and lightweight ensemble solutionInternational Journal of Data Science and Analytics, Network Security and Intrusion Detection
2026
A hybrid CWT–BiLSTM framework for accurate fault diagnosis in triplex pumps under complex operating conditionsFlow Measurement and Instrumentation, Oil and Gas Production Techniques
2026
Cooperative Intelligent Agents Based Approach for Proactive Defense and Geolocation of BGP Hijacking Attacks in SD-WAN Systems2026
Cooperative Agents Based Federated Learning for Ransomware Detection and Response in Cloud SystemsAre you Wafa?
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