Author:
VADHIL Fatimetou Abdou,NANNE Mohamedade Farouk,SALIHI Mohamed Lemine
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Information Systems,Control and Systems Engineering,Computer Science (miscellaneous)
Cited by
4 articles.
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1. A Novel Approach for Anomaly Detection using Snort Integrated with Machine Learning;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28
2. Hybrid Network Anomaly Detection Based on Weighted Aggregation Using Endpoint Parameters;Proceedings of Eighth International Congress on Information and Communication Technology;2023
3. Comparison of Machine Learning Techniques on Snort for Predicting Realtime DoS and Probe Attack;2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS);2022-11-16
4. NETWORK ANOMALY DETECTION BASED ON WEIGHTED AGGREGATION TAKING INTO ACCOUNT NODAL PARAMETERS;Vestnik komp'iuternykh i informatsionnykh tekhnologii;2022-07