@conference {Rachidi202213,
	title = {Network intrusion detection using Machine Learning approach},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2022},
	note = {cited By 0},
	pages = {13-17},
	abstract = {Today, intrusion detection has become an active research area. Due to the rapidly increasing number of intrusion variants, intrusion detection system analyses and notifies the activities of users as normal (or) anomaly. In our paper, we built a model of intrusion detection system applied to the NSL-KDD data set using different supervised classifiers such as KNN and Na{\"\i}ve Bayes. We also proposed two algorithms for multi-classification based on the Random Forest (RF) which is an ensemble classifier and KNN. Then we used the K-folds method to evaluate and validate our model. To evaluate the performances, we realized experiments on NSL-KDD data set. The result shows that the second proposed algorithm is efficient with high accuracy and time optimization. {\textcopyright} 2022 ACM.},
	keywords = {Barium compounds, Classification (of information), Computer crime, data set, Decision trees, Intrusion detection, Intrusion Detection Systems, Intrusion-Detection, Machine learning, Machine learning approaches, Multi-classification, Network intrusion detection, NSL-KDD, Random forests, Research areas, Sodium compounds, Supervised classifiers},
	doi = {10.1145/3551690.3551693},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139141127\&doi=10.1145\%2f3551690.3551693\&partnerID=40\&md5=e47a5f8038487b706673543f7fdf2de4},
	author = {Rachidi, Z. and Chougdali, K. and Kobbane, A. and Ben-Othman, J.}
}
@conference {Amine2020,
	title = {New Network Slicing Scheme for UE Association Solution in 5G Ultra Dense HetNets},
	booktitle = {IEEE International Conference on Communications},
	volume = {2020-June},
	year = {2020},
	note = {cited By 5},
	abstract = {Network slicing (NS) will have an essential role to enhance the isolation and the flexibility of the future generation of cellular networks (5G) with heterogeneous capabilities, notably in ultra-dense (UD) urban zones. Thus, it may be the principal component necessary to respond to 5G UD heterogeneous networks (UD-HetNets) technical requirements. The aim of this paper is to propose a new NS architecture to resolve user equipment (UE)-association problem in 5G UD-HetNets. Accordingly, we formulated the problem as a one-to-many matching game based on matching theory, while exploiting the isolation character of slicing to eliminate interferences between pico-cells and those among macro-cell and pico-cells. Next, we proposed the UE-slice association algorithm (U-S.AA) to find the stable matching among user equipments (UEs) and different network slices. Numerical simulation results validate our theoretical model, and prove the efficient of the proposed user-slice association solution to enhance the global network performance, respecting the UEs quality of service (QoS), as well as improving the energy efficiency (EE) of UEs. {\textcopyright} 2020 IEEE.},
	keywords = {5G mobile communication systems, Association algorithms, Cellular network, energy efficiency, Future generations, Heterogeneous networks, Matching theory, Network performance, Principal Components, Stable matching, Technical requirement, Theoretical modeling},
	doi = {10.1109/ICC40277.2020.9148844},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089429385\&doi=10.1109\%2fICC40277.2020.9148844\&partnerID=40\&md5=1c1af15932312ae46b6294cfb76fd07d},
	author = {Amine, M. and Kobbane, A. and Ben-Othman, J.}
}
@article {Gmira20181436,
	title = {A New Energy Efficiency/Spectrum Efficiency Model for Cooperative Cognitive Radio Network},
	journal = {Mobile Networks and Applications},
	volume = {23},
	number = {5},
	year = {2018},
	pages = {1436-1448},
	doi = {10.1007/s11036-018-1078-z},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055932107\&doi=10.1007\%2fs11036-018-1078-z\&partnerID=40\&md5=2a9aa8fcbffa8cca76f1910b052525eb},
	author = {Gmira, S. and Kobbane, A. and Ben-Othman, J. and El Machkour, M.}
}
@article {Gmira2018405,
	title = {A new model for cooperative cognitive radio network using coalitional game},
	journal = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},
	volume = {230},
	year = {2018},
	pages = {405-415},
	doi = {10.1007/978-3-319-90802-1_36},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048046108\&doi=10.1007\%2f978-3-319-90802-1_36\&partnerID=40\&md5=aecbb539131a30d55d9c7252d88f268a},
	author = {Gmira, S. and Kobbane, A. and Machkour, M.E. and Ben-Othman, J.}
}
@conference {Amine2018,
	title = {New user association scheme based on multi-objective optimization for 5G ultra-dense multi-RAT HetNets},
	booktitle = {IEEE International Conference on Communications},
	volume = {2018-May},
	year = {2018},
	doi = {10.1109/ICC.2018.8422154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051424239\&doi=10.1109\%2fICC.2018.8422154\&partnerID=40\&md5=3572d774ac502ed9eb6c557554de3420},
	author = {Amine, M. and Walid, A. and Kobbane, A. and Ben-Othman, J.}
}
@conference {Elmachkour201265,
	title = {New insights from a delay analysis for cognitive radio networks with and without reservation},
	booktitle = {IWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference},
	year = {2012},
	note = {cited By 5},
	pages = {65-70},
	doi = {10.1109/IWCMC.2012.6314179},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869156676\&doi=10.1109\%2fIWCMC.2012.6314179\&partnerID=40\&md5=9cfed6da1f67007546e0b300b3572406},
	author = {Elmachkour, M. and Kobbane, A. and Sabir, E. and Koutbi, M.E.}
}
