@article {Abou-zbiba2021311,
	title = {A Novel Mobile CrowdSensing Architecture for Road Safety},
	journal = {Lecture Notes in Networks and Systems},
	volume = {183},
	year = {2021},
	note = {cited By 0},
	pages = {311-324},
	abstract = {Intelligent Transportation Systems have become an essential part of today{\textquoteright}s transportation systems as they aim to enhance efficiency, safety and mobility. They rely particularly on various communication and sensing technologies to achieve their objectives. At this level, Mobile CrowdSensing presents a cost-efficient solution and provides interesting features for data collection which is a major component in ITS. However, it still faces some challenges such as lack of incentive mechanisms, data validation, privacy and security. These challenges motivate us to propose a Mobile CrowdSensing architecture for our future SI-CAR (Secure and Intelligent Crowdsensing Application for Road Safety) application that integrates deep learning-based data validation, edge computing-based local processing for data privacy and gamification based-incentive mechanism. {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-030-66840-2_24},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102625921\&doi=10.1007\%2f978-3-030-66840-2_24\&partnerID=40\&md5=625844bcb30cf1f884057c1415e851e2},
	author = {Abou-zbiba, W. and El Gadi, H. and El Bakkali, H. and Benbrahim, H. and Benhaddou, D.}
}
@conference {ElOuazzani201852,
	title = {A new technique ensuring privacy in big data: K-Anonymity without prior value of the threshold k},
	booktitle = {Procedia Computer Science},
	volume = {127},
	year = {2018},
	pages = {52-59},
	doi = {10.1016/j.procs.2018.01.097},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045639418\&doi=10.1016\%2fj.procs.2018.01.097\&partnerID=40\&md5=7faf56ed974b78a28fd943ceddc84f39},
	author = {El Ouazzani, Z. and El Bakkali, H.}
}
@conference {Rahimi2013,
	title = {A new reputation algorithm for evaluating trustworthiness in e-commerce context},
	booktitle = {2013 National Security Days - 3eme Edition Des Journees Nationales de Securite, JNS3},
	year = {2013},
	note = {cited By 3},
	abstract = {Thanks to their ability to detect fraud, poor quality and ill-intentioned feedbacks and scores in online environments, robust Trust Reputation Systems (TRS) provide actionable information to support relying parties taking the right decision in any electronic transaction. In fact, as security providers in e-services, TRS have to faithfully calculate the most trustworthy score for a targeted product or service. Thus, TRS must rely on a robust architecture and suitable algorithms that are able to select, store, generate and classify scores and feedbacks. In this work, we propose a new architecture for TRS in e-commerce application which includes feedbacks{\textquoteright} analysis in its treatment of scores. In fact, this architecture is based on an intelligent layer that proposes to each user (i.e. {\textquoteright}feedback provider{\textquoteright}) who has already given his recommendation, a collection of prefabricated feedbacks summarizing other users{\textquoteright} textual feedbacks. A proposed algorithm is used by this architecture in order to calculate the trust degree of the user, the feedback{\textquoteright}s trustworthiness and generates the global reputation score of the product. {\textcopyright} 2013 IEEE.},
	doi = {10.1109/JNS3.2013.6595455},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884781815\&doi=10.1109\%2fJNS3.2013.6595455\&partnerID=40\&md5=ff700df7b3d03e86df3086edf016669d},
	author = {Rahimi, H. and El Bakkali, H.}
}
@article {ElBakkali2010203,
	title = {A new task engineering approach for workflow access control},
	journal = {Advances in Intelligent and Soft Computing},
	volume = {85},
	year = {2010},
	note = {cited By 1},
	pages = {203-212},
	doi = {10.1007/978-3-642-16626-6_22},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053005691\&doi=10.1007\%2f978-3-642-16626-6_22\&partnerID=40\&md5=b9d1f4d19bd722e72574f0bef90c7cff},
	author = {El Bakkali, H. and Hatim, H. and Berrada, I.}
}
