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Soutenance de doctorat de Mohamed Jacem Guezguez

Soutenance de thèse de doctorat le  07/09/2019 à 09H00 , à l'amphi Ibn Khaldoun de Sup'Com.

Intitulé : Cloud WSN: Models and Applications


Présentée par : Mohamed Jacem Guezguez



M. Belhassen Zouari

Professeur, SUP’COM, Université de Carthage, Tunisie





M. Antoine Bagula

Professeur, Université Western Cape, UWC, Afrique de Sud


Mme Lamia Chaari

Professeur, Université de Sfax, Tunisie



M. Chiheb Rebai

Professeur, SUP’COM, Université de Carthage, Tunisie




Directeur de Thèse :

M. Slim Rekhis

Professeur, SUP'COM, Université de Carthage, Tunisie


The Cloud-WSN is an emergent concept that combines the gathering capabilities of WSNs with the cloud computing ability in data processing and management. In this context, guarantying the interoperability between WSNs and maintaining a specific QoS by the cloud-computing provider are very important to satisfy the customers’ needs in security and sensing data computing. The main objective of this thesis is the design of Cloud-WSN platforms able to provide a wide range of services to end users and comply with security and QoS requirements. Four contributions are achieved.
The first contribution consists in designing a self-configurable sensor Cloud-WSN architecture providing QoS-aware and secure healthcare services. Such an architecture enables the on-demand creation of virtual sensors, and the dynamic update of their configurations, based on the spatial coordinates of the patient, the time period of the day, and the occurrence of sensitive events related either to the sensors status, or the health status of the patient. Several functions are also configured in the templates used by the medical staff and the WSN brokers to configure the healthcare service and the virtual sensors, allowing to improve the network reliability, reduce its cost and extend its lifetime.
The second contribution focuses on designing of novel Smartphone Cloud oriented architecture to use smartphones as “Observers” in order to provide Femtocell attacks detection As A Service to Mobile Network Operators (MNOs). Such architecture is composed of a set of observer agents, deployed on smartphones that can collect, monitor and deliver radio sensitive events in relations with attacks executed on/over femtocells. New virtual entities are dynamically built and managed on top of the physical observer agents in order to efficiently offer Femtocell attacks detection As A Service.
The third contribution consists in designing of a novel Smartphone Cloud architecture able to provide data muling as a service to end users. A game-based model is proposed that copes with the dynamic behavior of mobile subscribers. It optimally rewards them for providing data muling services using their smartphones, depending on their trustworthiness and their ability to meet the time delivery constraints.
In the last contribution, we propose a self-reconfigurable Cloud-based smartphone infrastructure able to provide surveillance-based services to customers. Novel attributes-based encryption protocols are proposed in order to prove the integrity of the physical agents and protect the collected sensing data from illegal misuse or eavesdropping.

Keywords: Wireless sensor networks, Cloud computing, dynamic virtual sensors, Wireless networking, Mobile security, Femtocell, Smartphone, Data Muling