Des bases de données aux données massives : La révolution Big Data

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Pr. Slimane HAMMOUDI
Professeur à Université d’Angers, France

Avec l’essor de nouvelles applications issues des grandes plateformes web (YouTube, Facebook,…), des réseaux de capteurs (mesurant tout type de données), des dispositifs mobiles (géolocalisation) et d’instruments scientifiques (sismologie, astronomie,…), le volume de données à gérer a explosé. Face à ces nouvelles applications, les systèmes de gestion de bases de données traditionnels ont montré leurs limites tant au niveau stockage que traitement des données. Le modèle transactionnel ACID (atomicity, consistency, isolation, durability) n’a plus sa place dans le monde Big Data qui repose sur des systèmes NoSQL. Pour la gestion de ces données massives, la disponibilité ainsi que la cohérence des données ne sont plus des critères incontournables comme dans le monde des bases de données. Les systèmes NoSQL fonctionnent selon le modèle BASE (Basically available, Soft state and Eventually consistant) et reposent sur le théorème CAP (Consistency, Availability , Partition tolerance) ou la distribution et la montée en charge horizontale sont incontournables.
Biography:
Slimane Hammoudi is a full professor at ESEO in Angers-France, a graduate school of engineering in electronics, computing, networking and telecommunications. He holds a PhD in Computer Science from the university of Montpellier , LIRMM, France, in 1993 and HDR in 2010 from university of Angers, France. From 1994 to 1997 he held a position of visiting Professor at the Electrical and Computer Engineering department of the Federal University of Maranhão- Brazil where he was involved in a new post-graduate program for the M.Sc and Ph.D. degrees. From 1997 to 1999, he held the position of Invited Professor at the University of Minho-Portugal where he was involved in a new master program in information systems. He is the head of Apprenticeship program at ESEO and the co-head of ERIS research team. He has contributed to the publication of more than 100 references including papers in conferences, chapters of books, journals, and conference proceedings and have been the co-editor of six books. His current research activities focus on model driven engineering with Smart Cities and Big Data as application domains. Since a decade, he is involved in ICEIS and MODELSWARD conferences as a program chair.

Towards privacy-preserving identity and access management systems for web developers

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Pr. Benzekri Abdelmalek
Professor at Paul Sabatier University - Toulouse III, France

This presentation deals with the latest web-based identity and access management technologies supporting SAML 2.0, OpenID Connect and OAuth 2.0, XACML 3.0 and FIDO standards. We will briefly present the underlying technologies, the identity provisioning requirements and will focus on authentication and authorization issues. We will demonstrate how to create a mobile app or web application that requires guaranteeing the right access to the right individual at the right time for the right reason. We will then discuss their limitations in terms of privacy. The second part of the tutorial will be devoted to an innovative privacy preserving system for web application developers. The system we built is based on FIDO and W3C verifiable credentials. We will describe our pilot implementations and show two different use cases: UK NHS patients and Bank clients. This tutorial will be the occasion to present also the WebAuthn specification defined recently by the W3C.
Biography:
Abdelmalek Benzekri is full professor at University of Toulouse – IUT ‘A’, Toulouse, France since 1999, where he is Director of the Master’s degree in CyberSecurity. He is the leader of Service IntEgration and netwoRk Administration (SIERA) Research Group. His research activities, conducted at IRIT, focus on systems and networks management and specifically on information security management.

IoT and Big Data Technologies for Smart Cities Applications

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Pr. Mohamed BAKHOUYA
Professor at International University of Rabat

Recent advances in pervasive technologies, such as wireless ad hoc networks and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as Internet of Things (IoT). IoT is seen as an enabler to the development of intelligent and context-aware services and applications. These services could dynamically react to the environment changes and users’ preferences. The main aim is to make users’ life more comfortable according to their locations, current requirements, and on-going activities. However, handling dynamic and frequent context changes is a difficult task without a real-time event/data acquisition and processing platform. Big data, WSN, and IoT technologies have been recently proposed for timely gathering and analysing information (i.e., data, events) streams. In this talk, we shed more light on the potential of these technologies for continuous and real-time data monitoring and processing in different real-case applications (e.g, Healthcare, energy efficient building, smart grid).
Biography:
Mohamed BAKHOUYA is an associate professor at International University of Rabat. He obtained his HDR from UHA-France in 2013 and his PhD from UTBM-France in 2005. He has more than five years experiences in participating and working in sponsored ICT projects. He was PI of Aalto starting grant at Aalto University-Finland (2011-2013), Co-PI (UTBM side) of two European projects ASSET (Advanced Safety and Driver Support in Efficient Road Transport, FP7-SST, 2008-2011, and TELEFOT (Field Operational Tests of Aftermarket and Nomadic Devises in Vehicles, FP7-ICT, 2008-2012. He is currently a PI of CASANET project (CNRST, 2015-2017), Co-PI of MIGRID (USAID-PEER program, 2017-2019), PI of HELECAR (PSA OpenLAB@Maroc, 2017-2019), Co-PI of SELFSERV (VLIR-UOS, 2016-2018), and Co-PI of AFRIKATATERRE (Solar Dechatlon AFRICA, 2017-2019).

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