LEARN MORE ABOUT Workshop on Internet of Things 2017

The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration between the physical world and computer-based systems, and resulting in improved efficiency, accuracy and economic benefit. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will consist of almost 50 billion objects by 2020. 

 

The Workshop Topics

  • M2M and Machine Intelligence
  • Big Data: Data Acquisition & Analytics
  • Facility and Enterprise Wide Connectivity
  • Wearables
  • IoT Security
  • Wireless, Fiber & Other Telemetry/Communications Networks
  • Cloud-based Monitoring and Control of Equipment, Assets, Facilities & Operations
  • Smart Service Management 
  • IoT platforms for BigData and Data analytics on clouds or pervasive environments
  • Data-intensive computing on hybrid infrastructures (clusters, clouds, grids, P2P)
  • Heterogeneous Source Mining
  • Pervasive grids and Mobile Edge Computing 
  • Data streams mining techniques 
  • Big data analytics and mining applications for pervasive systems
  • Data mining techniques for sensor data
  • Algorithms for big data analytics and data mining on pervasive environments
  • Mining and recommendation techniques for pervasive environments 
  • Big data analytics applied to Smart Cities
  • Programming models, including MapReduce, extensions, and new models applied to pervasive environments
  • Scalability and elasticity in big data environments
  • Fault-tolerance and reliability in IoT and pervasive environments
  • Performance analysis of big data tools and applications in pervasive environments
  • Software-defined networks for big data analytics and data mining
  • Scheduling and resource management in big data environments 

 

Meet Our Speakers
team-1
Associate Prof. in Information Management and IS and a Director of PhD Programme at International Business School Suzhou
team-1
Professor & Funded Investigator (FI) in the Insight Centre for Data Analytics in Dublin City University
team-1
Director of ICT at The Arab League Educational, Cultural and Scientific Organization ALECSO
team-1
Professor at the Computer Science. Dept. Monastir University, Tunisia
 
Visitors
43875
SCHEDULE

  • 08 May
    Day 1
  • 09 May
    Day 2
10:30 - 11:15 Prof. Ray Walshe
Standardisation in Big Data: Innovation and Excellence
This talk will highlight some of the European and Global Initiatives which are driving ICT Standards and in particular the Big Data Reference Architecture (BDRA). Standard. A brief history of Big Data standards evolution will lead to an introduction to the main SDO's in Europe and their roles. The talk will include sample uses cases for the Big Data Reference architecture and how they are used to identify and define big data roles, activities, functional components and their relationships. A description of the types of functional components leveraged by the roles and how they interact to create an operational big data architecture will be presented and show how this Reference architecture can facilitate a shared understanding across multiple products, organisations, and disciplines about current architectures and future direction.
11:15 - 12:00 Dr. Victor Chang
IoT security– overview, recommendations and the IoT Security Framework

Internet of Things (IoT) plays significant role in our daily life, including smart city, mobile services, wireless senor networks, big data analytics and emerging services. Despite of promising future of IoT, security and privacy still pose threats its development due to several vulnerabilities and privacy issues exploited. In this keynote, the overview and recommendation on current security solutions, such as location privacy, attribute-based encryption, ad hoc network security, light-weight authentication, identify management and intrusion detection will be covered. While currently there is no a IoT framework that can integrate all different security solutions as an unified service, the developed IoT security framework has integrated major security services and solutions together, known as integrated multi-layered security, to ensure the robustness and validity of the reliable IoT Security Framework. Technologies and architecture behind the framework will be explained in details. Large scale penetration testing and ethical hacking have been performed to demonstrate that IoT Security Framework is live, resilient and beneficial, making important research and enterprise contributions

09:30 - 10:15 Prof. Mohamed JEMNI
Toward Empowering Mobile Applications Development in the Arab World

Recent stats from the International Telecommunication Union (ITU) unveiled that mobile broadband is the fastest-growing ICT service in history, and around 4 billion of the global mobile phone population have Internet access using their mobile devices. In light of these considerations, there is no doubt that mobile technologies are entirely changing our lives, including particularly the way we learn. Therefore, recognizing the potentials of mobile technologies and its status in the region, the Arab League Educational, Cultural, and Scientific Organization (ALECSO), has proposed a Pan-Arab wide mobile initiative, aiming to empower Mobile Applications development in the Arab word.  The project aims to provide developers with a necessary technological and institutional environment for the promotion of an emerging digital creative Arab Mobile industry, related to the fields of education, culture, science, and learning games. In this talk, we will present an overview of the AlecsoApps project and we will describe each of its component and related activities.

10:15 - 11:00 Prof.Dr. Brahim Hnich
Smart Big Data applications for road traffic security, social online shopping, and online education

In this talk, our objective is to present three diverse cases studies of smart Big Data applications: a smart online vehicle tracking system for security applications, a social online shopping system,  and an online educational platform. For each application, we outline its main features and highlight the main challenges. We then how how we can  model and implemented these applications as Big Data applications and show how one can use the data collected in order to automatically discover new knowledge that brings more value to the users of these applications.

register

GET YOUR TICKETS

HURRY UP!!

All submitted papers will be under peer review and accepted papers will be published in the conference proceeding. The abstracts will be indexed and available at major academic databases.

  • 00
    Days
  • 00
    Hours
  • 00
    Mins
  • 00
    Secs
Sponsors
  • IGI-Global
  • Ibn Zoher University
  • Monastir University
  • IEEE
  • IEEE Tunisia Section
  • IEEE SMCS Tunisia Chapter
  • JUST
  • Sentidohotels