{"id":1250,"date":"2020-02-27T15:54:06","date_gmt":"2020-02-27T14:54:06","guid":{"rendered":"https:\/\/samovar2022.int-evry.fr\/index.php\/2020\/02\/27\/realisation-de-la-confiance-par-une-auto-adaptation-semantique-dans-linternet-des-objets\/"},"modified":"2020-09-04T18:45:17","modified_gmt":"2020-09-04T16:45:17","slug":"realisation-de-la-confiance-par-une-auto-adaptation-semantique-dans-linternet-des-objets","status":"publish","type":"post","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/2020\/02\/27\/realisation-de-la-confiance-par-une-auto-adaptation-semantique-dans-linternet-des-objets\/","title":{"rendered":"R\u00e9alisation de la confiance par une auto-adaptation s\u00e9mantique dans l&rsquo;Internet des objets"},"content":{"rendered":"<p>L&rsquo;Ecole doctorale : Ecole Doctorale de l&rsquo;Institut Polytechnique de Paris<\/p>\n<p>et le Laboratoire de recherche SAMOVAR<\/p>\n<p>pr\u00e9sentent<\/p>\n<p>l\u2019AVIS DE SOUTENANCE de <strong>Monsieur Hamza BAQA<\/strong><\/p>\n<p>Autoris\u00e9 \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de l&rsquo;Institut Polytechnique de Paris, pr\u00e9par\u00e9 \u00e0 T\u00e9l\u00e9com SudParis en :<br \/>\nInformatique<br \/>\n\u00ab R\u00e9alisation de la confiance par une auto-adaptation s\u00e9mantique dans l&rsquo;Internet des objets \u00bb<\/p>\n<p>le <strong>JEUDI 27 F\u00e9VRIER 2020 \u00e0 9h00<\/strong><\/p>\n<p>\u00e0 T\u00e9l\u00e9com SudParis Salle A003<\/p>\n<p><strong>Membres du jury :<\/strong><\/p>\n<p>M. Noel CRESPI, Professeur, T\u00e9l\u00e9com SudParis, FRANCE &#8211; Directeur de th\u00e8se<br \/>\nM. Nadjib  AITSAADI , Professeur des Universit\u00e9s, UVSQ Universit\u00e9 Paris-Saclay, FRANCE &#8211; Rapporteur<br \/>\nM. Young-Gab KIM, Professeur, Sejong University, COREE, REPUBLIQUE POPULAIRE DEMOCRATIQUE DE &#8211; Rapporteur<br \/>\nM. Franck LE GALL , Charg\u00e9 de Recherche, Easy Global Market, FRANCE &#8211; Encadrant de th\u00e8se<br \/>\nMme Tiziana  MARGARIA , Professeure, University of Limerick, IRLANDE &#8211; Examinatrice<br \/>\nM. Samuel  FRICKER, Professeur, FHNW Institute for Interactive Technologies, SUISSE &#8211; Examinateur<\/p>\n<p><strong>R\u00e9sum\u00e9 :<\/strong><\/p>\n<p>Cette derni\u00e8re d\u00e9cennie a connu un engouement important pour les communications sans fil. En plus de l\u2019utilisation croissante des smartphones et des tablettes, l\u2019explosion du nombre d\u2019\u00e9quipements connect\u00e9s a contribu\u00e9 \u00e0 l\u2019\u00e9mergence de l\u2019Internet des Objets (ou IoT). C\u2019est dans cette perspective, que la confiance, dans le domaine de l\u2019IoT, est devenue un facteur vital afin de fournir un service fiable\/stable, sans intervention humaine, tout en r\u00e9duisant les risques li\u00e9s \u00e0 la prise de d\u00e9cision autonome. Cependant, la pr\u00e9sence d&rsquo;objets physiques, des modules logiciels et d&rsquo;\u00eatres humains dans un m\u00eame environnement (IoT) a introduit de nouvelles pr\u00e9occupations pour l&rsquo;\u00e9valuation de la confiance. Par cons\u00e9quent, un grand nombre de probl\u00e8mes li\u00e9s \u00e0 la confiance n&rsquo;ont pas encore \u00e9t\u00e9 r\u00e9solus. Cela est principalement d\u00fb \u00e0 l&rsquo;ambigu\u00eft\u00e9 du concept de confiance et de la diversit\u00e9 des indicateurs de confiance (ou TIs), des mod\u00e8les et des m\u00e9canismes de gestion dans les diff\u00e9rents sc\u00e9narios IoT. Dans cette th\u00e8se, mon objectif est donc de fournir une \u00e9valuation de confiance efficace et pratique pour tout \u00e9cosyst\u00e8me IoT. Afin d\u2019atteindre ce r\u00e9sultat, le premier objectif consiste \u00e0 renforcer le concept de confiance g\u00e9n\u00e9rique et le mod\u00e8le conceptuel de la confiance. Cela va permettre de comprendre la confiance au sens plus large, les diff\u00e9rents facteurs\/indicateurs qu\u2019elle influence dans un contexte IoT. Le deuxi\u00e8me objectif est de proposer une mod\u00e9lisation de la confiance dans un environnement IoT, appel\u00e9 REK: (Reputation Experience Knowledge), compos\u00e9 de trois axes : R\u00e9putation, exp\u00e9rience et connaissances. Cette mod\u00e9lisation couvre les aspects multidimensionnels de la confiance en combinant les observations, exp\u00e9rience utilisateur et opinions globales. La connaissance est consid\u00e9r\u00e9e comme \u00e9tant \u00ab confiance directe \u00bb, elle permet \u00e0 un fiduciant de comprendre le fiduciaire selon les sc\u00e9narios. Elle est obtenue en se basant sur les informations disponibles sur les diff\u00e9rentes caract\u00e9ristiques du fiduciant, de l&rsquo;environnement et des perspectives du fiduciaire. L\u2019exp\u00e9rience et la r\u00e9putation proviennent des caract\u00e9ristiques sociales. Elles sont extraites des interactions pr\u00e9c\u00e9dentes entre les diff\u00e9rentes entit\u00e9s d\u2019un syst\u00e8me IoT. Les mod\u00e8les math\u00e9matiques et les m\u00e9canismes de calcul pour Exp\u00e9rience et R\u00e9putation sont \u00e9galement propos\u00e9s. Pour ce faire, on s\u2019est inspir\u00e9 du Google PageRank pour la classification et des comportements sociologiques des humains dans le monde r\u00e9el. Les objets IoT peuvent vivre dans diff\u00e9rents \u201cdomaines \u00bb et \u00ab contexte \u00bb dans leur cycle de vie. C\u2019est pour cette raison, que les informations g\u00e9n\u00e9r\u00e9es par ces objets peuvent \u00eatre g\u00e9r\u00e9es\/manipul\u00e9es par plusieurs\/diverses parties prenantes avec diff\u00e9rents r\u00f4les, des informations et fonctionnalit\u00e9s avec diff\u00e9rents niveaux d\u2019acc\u00e8s, dans des \u00e9cosyst\u00e8mes avec diff\u00e9rents niveaux de confiance et politique de s\u00e9curit\u00e9. Dans ce sens, le troisi\u00e8me objectif de cette th\u00e8se est donc de proposer une nouvelle approche bas\u00e9e sur la BlockChain pour le partage de donn\u00e9es IoT, appel\u00e9e Semantic Smart Contract (SSC). Cette approche a pour but de tirer pleinement profit des dispositions offertes par la blockchain et la s\u00e9mantique. La faisabilit\u00e9 et l&rsquo;efficacit\u00e9 du mod\u00e8le REK, bas\u00e9es sur l&rsquo;indicateur de confiance propos\u00e9, ainsi que les m\u00e9canismes de partage de confiance associ\u00e9s sont prouv\u00e9es non seulement par une analyse th\u00e9orique, mais \u00e9galement par des applications concr\u00e8tes issues du monde r\u00e9el et qui sont d\u00e9ploy\u00e9es dans deux projets europ\u00e9ens Wise-IoT et SMESEC.<\/p>\n<p><strong>Abstract :<\/strong><\/p>\n<p>In the blooming era of the Internet of Things (IoT), trust has become a vital factor for provisioning reliable smart services without human intervention by reducing risk in autonomous decision making. However, the merging of physical objects, cyber components and humans in the IoT infrastructure has introduced new concerns for the evaluation of trust. Consequently, a large number of trust-related challenges have been unsolved yet due to the ambiguity of the concept of trust and the variety of divergent trust indicators, models and management mechanisms in different IoT scenarios. In this PhD thesis, my ultimate goal is to propose an efficient and practical trust evaluation for any IoT ecosystems. To achieve this goal, the first important objective is to augment the generic trust concept and conceptual model of trust in order to come up with a comprehensive understanding of trust, influencing factor and relevant Trust Indicators (TI) in the context of IoT. Following the catalyst, as the second objective, a trust model called REK comprised of the triad Reputation, Experience and Knowledge TIs is proposed which covers multi-dimensional aspects of trust by incorporating heterogeneous information from direct observation, personal experiences to global opinions. Knowledge TI is as \u201cdirect trust\u201d rendering a trustor\u2019s understanding of a trustee in respective scenarios that can be obtained based on limited available information about characteristics of the trustee, environment and the trustor\u2019s perspective using a variety of techniques. Experience and Reputation TIs are originated from social features and extracted based on previous interactions among entities in IoT. The mathematical models and calculation mechanisms for the Experience and Reputation TIs also proposed leveraging sociological behaviours of humans in the real-world; and being inspired by the Google PageRank in the web-ranking area, respectively. Things are expected to live in different \u201cdomains\u201d and \u201ccontexts\u201d during their lifetime. Information generated\/associated with Things should be manageable by multiple, diverse stakeholders with different roles, information and functionalities with many access levels, ecosystems with different trust level and security primitives. In that sense, as third objective of this thesis, a novel blockchain-enhanced IoT data-sharing framework named Semantic Smart Contract (SSC) is proposed taking full advantage of the provisions offered by the blockchain and semantics. The feasibility and effectiveness of the REK model, based on the proposed trust indicator, and associated Trust sharing mechanisms are proved not only by the theoretical analysis but also by real-world applications deployed in our Wise-IoT and SMESEC EU projects.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>L&rsquo;Ecole doctorale : Ecole Doctorale de l&rsquo;Institut Polytechnique de Paris et le Laboratoire de recherche SAMOVAR pr\u00e9sentent l\u2019AVIS DE SOUTENANCE de Monsieur Hamza BAQA Autoris\u00e9 \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de l&rsquo;Institut Polytechnique de Paris, pr\u00e9par\u00e9 \u00e0 T\u00e9l\u00e9com SudParis en : Informatique \u00ab R\u00e9alisation de la confiance par une auto-adaptation 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