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Sara Ftaimi
Affiliation : Université Ibn-Tofail
- 7Publications (affiliation in Morocco)
- 7Total publications
- 48Citations
- 3h-index
Research profile
Sara Ftaimi has 7 indexed publications (2019–2025). Their work appears mainly in “International Conference on Networking, Information Systems & Security (NISS)”, “World Electric Vehicle Journal” and “International Journal of Advanced Computer Science and Applications”. Their most cited article, “A comparative study of Machine learning algorithms for VANET networks” (2020), has been cited 30 times. Their work is co-authored with at least 2 researchers.
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Create my free profile Add my publicationsResearch areas
- Network Security and Intrusion Detection
- Adversarial Robustness in Machine Learning
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Clustering Algorithms Research
- Autonomous Vehicle Technology and Safety
Publications (7)
- Applying a Deep Neural Network and Feature Engineering to Assess the Impact of Attacks on Autonomous Vehicles
- Risk Assessment of Attack in Autonomous Vehicle based on a Decision Tree
- Benchmarking Study of Machine Learning Algorithms Case Study: VANET Network
- Data Stream clustering for detecting misbehavior in an intelligent transportation system
- A comparative study of Machine learning algorithms for VANET networks
- Handling Priority Data in Smart Transportation System by using Support Vector Machine Algorithm
- The role of big data in a connected environment Case study: smart city
Publication venues
- International Conference on Networking, Information Systems & Security (NISS) × 2
- World Electric Vehicle Journal × 1
- International Journal of Advanced Computer Science and Applications × 1
- Advances in Science, Technology & Innovation/Advances in science, technology & innovation × 1
- Advances in Science Technology and Engineering Systems Journal × 1
- International Conference of Computer Science and Renewable Energies (ICCSRE) × 1
Publications per year
- 20251
- 20213
- 20202
- 20191
Co-authors
Bibliographic data from OpenAlex (open database).
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