31 Jul 2026Open access
Bridging the skills gap in recruitment: A RAG-based LLM framework for cybersecurity job advertisement analysisPublisher siteInformation Processing & Management, Ethics and Social Impacts of AI
Active, last published 2026
In network security and intrusion detection
Abdeslam
Rehaimi
Scholar“Research focused on Network Security and Intrusion Detection and adjacent fields.”
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01 · About the work
What I study
bdeslam Rehaimi 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
Abdeslam's work has been cited 79 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Network Security and Intrusion Detection×4Information and Cyber Security×2Advanced Malware Detection Techniques×2Internet Traffic Analysis and Secure E-voting×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Sultan Moulay Slimane, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
6 works21 Apr 2026Open access
Cybersecurity Awareness Dataset on HTTPS Usage among Moroccan Web Users and WebmastersPublisher siteMendeley Data
5 Sept 2025Open access2cites
LLM-based assessment of HTTPS cybersecurity awareness: Dataset from moroccan web users and webmastersPublisher siteData in Brief, Network Security and Intrusion Detection
18 May 2024Open access14cites
Towards a federated and hybrid cloud computing environment for sustainable and effective provisioning of cyber security virtual laboratoriesPublisher siteExpert Systems with Applications, Experimental Learning in Engineering
18 Dec 20234cites
A Comparative Study of Online Cybersecurity Training PlatformsPublisher siteLecture notes in computer science, Information and Cyber Security
15 Feb 2023Open access43cites
An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0Publisher siteJournal of King Saud University - Computer and Information Sciences, Network Security and Intrusion Detection
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