1 Jan 2026
GAN-Augmented Deep Learning for Robust Credit Card Fraud DetectionPublisher siteLecture notes in networks and systems, Imbalanced Data Classification Techniques
Active, last published 2026
Mohamed
Akouhar
Scholar“Research profile drawn from open scholarly records.”
Ibn Tofail University
Morocco
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01 · About the work
What I study
research summary for Mohamed Akouhar will appear here once their profile is updated.
02 · Reach
Publication output and reach
Mohamed's work has been cited 60 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
04 · Where I am
Affiliations
Affiliation on published researchUniversité Ibn-Tofail, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
8 works1 Jan 2026Open access
Binary Neural Networks for Low-Latency DDoS Detection in Edge–Fog ComputingPublisher siteSpringer proceedings in physics, Network Security and Intrusion Detection
25 Jun 2025Open access13cites
Dynamic oversampling-driven Kolmogorov–Arnold networks for credit card fraud detection: An ensemble approach to robust financial securityPublisher siteEgyptian Informatics Journal, Vehicle License Plate Recognition
1 Jan 2025
Enhancing Cloud Security: A Study on the Performance of Ensemble Optimized DNNs for DDoS DetectionPublisher siteLecture notes in networks and systems, Network Security and Intrusion Detection
26 Aug 2024Open access15cites
Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art approachesPublisher siteEgyptian Informatics Journal, Network Security and Intrusion Detection
23 Jul 20241cites
A Deep Learning and Resampling Approach to Credit Card Fraud DetectionPublisher site28 Jun 20242cites
Interpretable Deep Learning for DDoS Defense: A SHAP-based Approach in Cloud ComputingPublisher site1 Feb 2024Open access29cites
DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computingPublisher siteJournal of King Saud University - Computer and Information Sciences, Network Security and Intrusion Detection
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