@article {Amraoui2016,
	title = {Security-Based Mechanism for Proactive Routing Schema Using Game Theory Model},
	journal = {Mobile Information Systems},
	volume = {2016},
	year = {2016},
	note = {cited By 0},
	abstract = {Game theory may offer a useful mechanism to address many problems in mobile ad hoc networks (MANETs). One of the key concepts in the research field of such networks with Optimized Link State Routing Protocol (OLSR) is the security problem. Relying on applying game theory to study this problem, we consider two strategies during this suggested model: cooperate and not-cooperate. However, in such networks, it is not easy to identify different actions of players. In this paper, we have essentially been inspired from recent advances provided in game theory to propose a new model for security in MANETs. Our proposal presents a powerful tool with a large number of players where interactions are played multiple times. Moreover, each node keeps a cooperation rate (CR) record of other nodes to cope with the behaviors and mitigate aggregate effect of other malicious devices. Additionally, our suggested security mechanism does not only take into consideration security requirements, but also take into account system resources and network performances. The simulation results using Network Simulator 3 are presented to illustrate the effectiveness of the proposal. {\textcopyright} 2016 Hicham Amraoui et al.},
	doi = {10.1155/2016/5653010},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008883716\&doi=10.1155\%2f2016\%2f5653010\&partnerID=40\&md5=5aaffd8b2d52f8958a3f2543444109fe},
	author = {Amraoui, H.a and Habbani, A.a b and Hajami, A.c and Bilal, E.d}
}
@conference {Mourchid2015213,
	title = {Mining user patterns for location prediction in mobile social networks},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	volume = {2015-January},
	number = {January},
	year = {2015},
	note = {cited By 1},
	pages = {213-218},
	abstract = {Understanding human mobility dynamics is of an essential importance to today mobile applications, including context-aware advertising and city wide sensing applications. Recently, Location-based social networks (LBSNs) have attracted important researchers{\textquoteright} efforts, to investigate spatial, temporal and social aspects of user patterns. LBSNs allow users to {\textquoteright}check-in{\textquoteright} at geographical locations and share this information with friends. In this paper, analysis of check-ins data provided by Foursquare, the online location-based social network, allows us to construct a set of features that capture: spatial, temporal and similarity characteristics of user mobility. We apply this knowledge to location prediction problem, and combine these features in supervised learning for future location prediction. We find that the supervised classifier based on the combination of multiple features offers reasonable accuracy. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/CIST.2014.7016621},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938084658\&doi=10.1109\%2fCIST.2014.7016621\&partnerID=40\&md5=86ede8ff82b4095f9bf55be3eaa192e2},
	author = {Mourchid, F.a and Habbani, A.a b and Koutbi, M.E.a}
}
@article {Lakki20151070,
	title = {Multi-objective dynamic metric and QoS in networks manets},
	journal = {Research Journal of Applied Sciences, Engineering and Technology},
	volume = {10},
	number = {9},
	year = {2015},
	note = {cited By 0},
	pages = {1070-1081},
	abstract = {The aim of this study is to find a Intelligent parameter which is based on mobility and Clustering. This metric will be integrate in the selection process of MPRs to improve QoS in Manets networks. The unpredictable mobility and the large quantity of generated traffic by each node interface make communication in network increasingly difficult to manage. Thus, routing protocols need to be adapted to such conditions. In order to make OLSR protocol more robust, piercing and more adaptable to the conditions dictated by the environment of each node, this study proposes a polymorphic metric that changes depending on the network behavior. This metric aims to make the OLSR protocol best suited to each zone. Many simulations would be undergone by NS2 to test and prove the validity of this new metric in environments with high mobility and quantity of traffic. {\textcopyright} Maxwell Scientific Organization, 2015.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940775201\&partnerID=40\&md5=be882576c747f7d2d3d54cd08dc7dc91},
	author = {Lakki, N.a and Ouacha, A.a and Habbani, A.a b and El Abbadi, J.a}
}
@conference {Amraoui2014326,
	title = {CCS: A Correct Cooperation Strategy based on game theory for MANETS},
	booktitle = {Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA},
	volume = {2014},
	year = {2014},
	note = {cited By 1},
	pages = {326-332},
	abstract = {Mobile ad hoc networks (MANETs) is a multihop wireless communication network supporting mobile users (nodes) without any existing infrastructure and depend of the individual behavior of the nodes. This nature of MANETs imposes the cooperation among nodes to improve quality of service and security especially that mobility and energy are the most important criteria in MANETs. In such networks, devices can have different configurations, and should cooperate to ensure the existence of such networks. Cooperation enforcement mechanism do not provide strong authentication of entities. However, cooperation may be more difficult to apply in MANETS than infrastructure based networks due to many reasons already mentioned. In this paper we{\textquoteright}ll present a correct strategy based on cooperation rate (CR) to enforce cooperation and communication between nodes in MANET using OLSR routing protocol. The concept of this strategy based on game theory is focused on track keeps by each nodes and calculate the CR of other nodes. The CR is calculated based on various types of OLSR messages (HELLO, TC, MID and HNA) sent among nodes, and also based on different network processing (forwarding and routing). {\textcopyright} 2014 IEEE.},
	doi = {10.1109/AICCSA.2014.7073216},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988269680\&doi=10.1109\%2fAICCSA.2014.7073216\&partnerID=40\&md5=bc6ef75e71388636784417f4f74c2910},
	author = {Amraoui, H.a and Habbani, A.a b and Hajami, A.c}
}
@article {Lakki20141,
	title = {QoS and energy with clustering in MANETs},
	journal = {Far East Journal of Electronics and Communications},
	volume = {13},
	number = {1},
	year = {2014},
	note = {cited By 1},
	pages = {1-16},
	abstract = {In the prior works, there are several works that address the problem of clustering in MANETs (ad hoc network). To form clusters and select cluster headers, each solution has a different criterion. In our case, it is based on the density of HELLO messages. In other words, we propose a clustering mechanism represented by a density parameter HELLO message for each cluster. This new metric we will consider in the selection process of multipoint relays to improve quality of service in mobile ad hoc networks, it gives a new version of the protocol OLSR named clustering OLSR. The NS2 simulation shows that this new version of OLSR protocol is better than the standard version. Performance indicators of our version of OLSR protocol improve the standard version. {\textcopyright} 2014 Pushpa Publishing House.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907849019\&partnerID=40\&md5=898c8acc3b1d84502c48ccb07f7a78ab},
	author = {Lakki, N.a and Habbani, A.a b and El Abbadi, J.a}
}
@article {Choukri2013,
	title = {Efficient heuristic based on clustering approach for OLSR},
	journal = {Journal of Computer Networks and Communications},
	volume = {2013},
	year = {2013},
	note = {cited By 2},
	abstract = {Due to the dynamic nature of mobile ad hoc network (MANET), the quality of service (QoS) requires several improvements. The present papercomeswithin the framework of research to optimize QoS in MANET. In this paper, we propose a novel version of OLSR based on the clustering approach which is inspired from Lin and Chu heuristic and adapted to beimplemented inOLSR. We studied its stability and we compared its performances to those of standard OLSR. The metrics we used in evaluating network performances were average end-to-end delay, control routing overhead, and packet delivery ratio. Experimental results show that our alternative significantly reduces the traffic reserved to monitoring the network, which positively influences other performances such as throughput, delay, and loss. {\textcopyright} 2013 Ali Choukri et al.},
	doi = {10.1155/2013/597461},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877308430\&doi=10.1155\%2f2013\%2f597461\&partnerID=40\&md5=3aa67a9fc125b4b786e82c243f57c7bc},
	author = {Choukri, A.a and Habbani, A.a b and El Koutbi, M.a}
}
@article {Choukri20131739,
	title = {A hierarchical version of OLSR for MANET},
	journal = {World Applied Sciences Journal},
	volume = {21},
	number = {12},
	year = {2013},
	note = {cited By 4},
	pages = {1739-1747},
	abstract = {Due to the dynamic nature of Mobile Ad Hoc Network (MANET) the Quality of Service (QoS) requires several improvements. In this paper, we propose a novel hierarchical routing protocol based on clustering approach inspired on the heuristic Max-Min D-Cluster that we have improved and implemented on standard OLSR. In order to validate this new release named OLSR-MaxMin2C we studied its stability and we compared its performances to those of other alternatives. The metrics we used in evaluating the performance of networks were Average end-to-end Delay, Control Routing Overhead and Packet Delivery Ratio according to VBR traffic (H.264) in addition to CBR traffic. Experimental results show that the control traffic is highly reduced and the improvement in the network performances is gained. {\textcopyright} IDOSI Publications, 2013.},
	doi = {10.5829/idosi.wasj.2013.21.12.154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876000474\&doi=10.5829\%2fidosi.wasj.2013.21.12.154\&partnerID=40\&md5=d2b2f8cacb2542b846aaada949f18e72},
	author = {Choukri, A.a and Habbani, A.a b and Elkoutbi, M.a}
}
