@article {Boumait2022251,
	title = {Survey IOT Systems Security Based on Machine Learning},
	journal = {Lecture Notes in Networks and Systems},
	volume = {455 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {251-258},
	abstract = {IoT technologies are essential for creating a variety of smart applications in the real world that will improve people{\textquoteright}s lives. The focus of this study is on the security of IoT systems using machine learning. It{\textquoteright}s about a thorough examination of the security challenges and threats that applications face. It{\textquoteright}s a survey of machine learning techniques that can be utilized to boost IoT system confidence and security. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-02447-4_26},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130368202\&doi=10.1007\%2f978-3-031-02447-4_26\&partnerID=40\&md5=7e46544676b219af8cfdbafd0edc735a},
	author = {Boumait, E.M. and Habbani, A. and Souidi, M. and Didi, Z.}
}
@article {Berradi2020551,
	title = {Improvement of olsr protocol using the hello message scheme based on neighbors mobility},
	journal = {Journal of Communications},
	volume = {15},
	number = {7},
	year = {2020},
	note = {cited By 3},
	pages = {551-557},
	abstract = {The main idea behind the routing protocols based on multi-hop is to find the required path from the source node to the destination. Since those protocols do not consider the node mobility in their mechanism, we propose to enhance the routing protocols benefiting from localization node and predict the time needed for neighbors to go out of range for a node to increase the robustness of the protocols with the mobility. Firstly, we propose an efficient scheme to predict the time needed for the node to quite the neighbor range. Secondly, we conduct a set of simulations to compare the performance of our proposal against OLSR standard. {\textcopyright} 2020 Journal of Communications.},
	doi = {10.12720/jcm.15.7.551-557},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090682888\&doi=10.12720\%2fjcm.15.7.551-557\&partnerID=40\&md5=d5420787a7e221baaea54685cd83c661},
	author = {Berradi, H. and Habbani, A. and Mouchfiq, N. and Souidi, M.}
}
@conference {Berradi2020,
	title = {Optimize the QoS Metrics in Smart Mobile Communication using Multi-Objective Function},
	booktitle = {3rd International Conference on Advanced Communication Technologies and Networking, CommNet 2020},
	year = {2020},
	note = {cited By 1},
	abstract = {The impact of mobility is a major factor that can have an influence on the stability of network behaviour in mobile ad-hoc networks (MANET). The selection of paths having stability, security and an extended network lifetime is one of the crucial issues in the design of routing protocols. In this paper, the authors propose an enhanced algorithm relying on a multipurpose function according to three metrics, mobility, energy and reputation levels to improve the routing decision-making process. The main goal is to identify better performing Multipoint relays (MPRs) which are used to relay messages between nodes. They are also necessary for routing and selecting the appropriate route from any source to any destination node. The identification of the most efficient MPRs can upgrade the network performing even in the most challenging conditions of the dynamic environment. The authors implement the advanced algorithm in the OLSR and get the performance result by using a network simulator (NS3) running under the mobility model of the Manhattan network. The achieved results show important performance compared to the default version. In addition, the proposed model can be employed to improve network efficiency for proactive protocols in ad-hoc networks. {\textcopyright} 2020 IEEE.},
	keywords = {Decision making, Destination nodes, Dynamic environments, Internet protocols, Manhattan networks, Mobile ad hoc networks, Mobile communications, Mobile telecommunication systems, Multi-objective functions, Network efficiency, Network security, Network simulators, Proactive protocol},
	doi = {10.1109/CommNet49926.2020.9199632},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093653757\&doi=10.1109\%2fCommNet49926.2020.9199632\&partnerID=40\&md5=83e6a0c98ac8386acb6e6aad76a531ec},
	author = {Berradi, H. and Habbani, A. and Souidi, M. and Elmahdi, F. and Mouchfiq, N.}
}
@article {Souidi202043,
	title = {Performance Comparison of Zoning Techniques in Geographic Forwarding Rules for Ad Hoc Networks},
	journal = {EAI/Springer Innovations in Communication and Computing},
	year = {2020},
	note = {cited By 0},
	pages = {43-54},
	abstract = {Mobile Ad Hoc Network (MANET) is a set of devices communicating directly with each other without the aid of an infrastructure. They exchange broadcast messages to detect links between nodes and to create routing tables. However, the broadcasting leads to the multiplication of redundant retransmissions. These retransmissions decrease the performance of the network. The Geographic Forwarding Rules (GFRs) are a technique that allows to scale down the ripple effects of broadcasting in order to increase the reliability of the network. They have been used in the context of the Optimized Link State Routing protocol (OLSR) and have reduced the useless transmissions of topology control (TC) messages. The GFRs use the location of the originator of the TC message to split nodes into virtual groups called the propagation zones. The algorithm freely advertises TC messages inside each zone and avoids redundant retransmissions between them. The authors of GFR presented several zoning techniques. However, they have studied only one method. In this paper, we draw analysis of different techniques to compute the propagation zones. We compare, by simulations, the improvement provided by the GFR algorithm on OLSR protocol using different partitioning methods. {\textcopyright} 2020, Springer Science and Business Media Deutschland GmbH. All rights reserved.},
	keywords = {Ad-hoc networks, Broadcast messages, Broadcasting, Control messages, Geographic forwarding, Mobile ad hoc networks, Mobile ad-hoc networks, Optimized link state routing protocols, Performance comparison, Retransmissions, Topology control, Zoning, Zoning techniques},
	doi = {10.1007/978-3-030-30911-4_4},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134349769\&doi=10.1007\%2f978-3-030-30911-4_4\&partnerID=40\&md5=0f69976ebbd29ca5dc9e70fd2c18ed5e},
	author = {Souidi, M. and Habbani, A.}
}
@conference {Souidi2018,
	title = {Energy performance of zoning techniques for broadcast processing with reduced redundancy in MANETS},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	doi = {10.1145/3289402.3289507},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062792171\&doi=10.1145\%2f3289402.3289507\&partnerID=40\&md5=1d25490445c2ab5f8978761851a98837},
	author = {Souidi, M. and Berradi, H. and Habbani, A. and Elmahdi, F.}
}
@article {Souidi20181,
	title = {Geographic forwarding rules to reduce broadcast redundancy in mobile ad hoc wireless networks},
	journal = {Personal and Ubiquitous Computing},
	year = {2018},
	pages = {1-11},
	doi = {10.1007/s00779-018-1137-2},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046544087\&doi=10.1007\%2fs00779-018-1137-2\&partnerID=40\&md5=6c36decf0a636de5c2e0472ac7d6cf4e},
	author = {Souidi, M. and Habbani, A. and Berradi, H. and El Mahdi, F.}
}
@conference {Souidi20178,
	title = {Node localization to optimize the MPR selection in smart mobile communication},
	booktitle = {ACM International Conference Proceeding Series},
	volume = {Part F130526},
	year = {2017},
	note = {cited By 0},
	pages = {8-13},
	abstract = {Nowadays, we are converging more and more towards smart environments like smart cars, drones, unmanned airplanes, internet of things and connected homes... These new gadgets are in need to communicate and interact with each other for their proper functioning. Due to their easy implementation, the mobile ad hoc networks constitute the fastest and the most efficient way to establish connection in smart environments. However, in proactive ad hoc routing protocol, like the Optimized Link State Routing, maintaining the topology increases the overhead and consumes a considerable energy power. In smart environments, some terminals are battery powered. Designing efficient communication protocols is crucial to decrease the interferences, to enhance the performance of the network and to reduce the consumption of energy. In this paper, we use the node localization in the context of OLSR to select dispersive Multi-Point Relays responsible of broadcasting the topology into the entire network. We divide the environment into several virtual zones. Then we try to elect forwarders at different partitions to cover the maximum surface area in order to reach the greater number of devices. The simulations show that our proposal reduces at certain extent, the amount of traffic overhead, improves the network capacity and lets more bandwidth for the smart environment{\textquoteright}s applications. {\textcopyright} 2017 Association for Computing Machinery.},
	doi = {10.1145/3128128.3128130},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030308988\&doi=10.1145\%2f3128128.3128130\&partnerID=40\&md5=36496d536836e72b4534a55afef580a7},
	author = {Souidi, M. and Habbani, A. and Berradi, H. and Essaid, B.}
}
