Workshop on IoT Data Engineering

The 12th International Conference on Model & Data Engineering

2-4 November 2023, Sousse, Tunisia

MEDI2023
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The Internet of Things (IoT) has revolutionized how we interact with the world, generating vast amounts of data from connected devices. To effectively manage and analyze this data, specialized data engineering techniques are essential. In this workshop, we will delve into the realm of IoT data engineering, focusing on constructing robust data pipelines capable of tackling the unique challenges posed by IoT data. The primary objective of the workshop is to provide researchers and industrialists with an opportunity to learn about developing cutting-edge data solutions and to engage in stimulating discussions on the latest advancements in this field.

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Workshop papers will be published by Springer in "Communications in Computer and Information Science". Best papers from each workshop will be invited to the Computer Science and Information Systems Journal: http://www.comsis.org/

CALL FOR PAPERS

The following is a list of topics (but not limited) related to this workshop:

  • Data Ingestion from IoT Devices
  • IoT Data Storage and Processing
  • Data Transformation and Enrichment
  • Real-time Analytics and Visualization
  • Data Security and Privacy in IoT
  • Scaling IoT Data Pipelines
  • Edge Computing in IoT Data Engineering
  • Blockchain for IoT

IMPORTANT DATES

  • Paper submission deadline: September 4, 2023 , September 20, 2023
  • Notification of acceptance: October 15, 2023
  • Camera-ready paper: October 25, 2023
  • Workshop: November 3, 2023

SUBMISSION

  • Authors are invited to submit English-language research and application papers representing original, previously unpublished work. Duplicate submissions are not allowed. Papers must be submitted as a single PDF document, via the Easychair system .
  • Three types of submissions are accepted:
    • Regular Research papers: contributions should describe original work (up to 14 pages including all text, figures, references and appendices).
    • Industrial case studies and lessons learned papers: works with experiences and notable industrial advances using model-driven engineering technology for verification and testing purposes (6- 10 pages including all text, figures, references and appendices).
  • Submissions must conform to Springer's LNCS style . Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition.
  • One author of an accepted paper must register to MEDI 2023 in order to have the paper published. Each accepted paper must be presented at the conference by one of the authors.

PC CHAIRS

Takoua Abdellatif

Takoua Abdellatif, Associate Professor, National School of Engineers in Sousse (ENISo)/Sousse University & SERCOM Polytechnics School of Tunisia (EPT)/ University of Carthage.

Abderrazak Jemai

Abderrazak Jemai , Professor at National Institute of Applied Science and Technology (INSAT) & SERCOM, Polytechnics School of Tunisia (EPT)/ University of Carthage.

PROGRAM COMMITTEE

  • Walid Gaaloul, SAMOVAR, Polytechnic Institute of Paris, France
  • Sami Yangui, LAAS-CNRS, INSA Toulouse, France
  • Wided Souidene, SERCOM Polytechnic School of Tunisia, Tunisia
  • Ines Bousnina, SERCOM Polytechnic School of Tunisia, Tunisia
  • Olfa Besbes, Isitcom Sousse, Tunisia
  • Asma Mansour, Horizon Sousse, Tunisia
  • Nawal Bayar, Horizon Sousse, Tunisia
  • Aymen Yahyaoui, Military academy Tunisia, Tunisia
  • Imen Jegham, Horizon Sousse, Tunisia
  • Imen Boudali, SERCOM Polytechnic School of Tunisia, Tunisia
  • Feten Slimeni, Military academy Tunisia, Tunisia
  • Sonia Kotel, Horizon Sousse, Tunisia
  • Wided Ben Abid , Horizon Sousse, Tunisia

ORGANIZING COMMITTEE

  • Maher Boughdiri, PhD Student, SERCOM Polytechnic School of Tunisia, Tunisia.
  • Yassine Gacha, PhD Student, SERCOM Polytechnic School of Tunisia, Tunisia.
  • Fatimata Dia, PhD Student, SERCOM Polytechnic School of Tunisia, Tunisia.

ACCEPTED PAPERS

  • Fatimata Dia, Nawel Bayar and Takoua Abdellatif. From functional requirements to NoSQL database models: application to IoT Geospatial Data
  • Nour Elhouda Oueslati, Hichem Mrabet and Abderrazek Jemai. A survey on intrusion detection systems for IoT networks based on long short-term memory
  • Abdelmlak Said, Aymen Yahyaoui and Takoua Abdellatif. HIPAA and GDPR compliance in IoT healthcare systems
  • Boughdiri Maher, Takoua Abdellatif and Chirine Ghedira Guegan. How Does Blockchain Enhance Zero Trust Security in IoMT?
  • Aissaoui Firas, Boudali Imen and Abdellatif Takoua. Distributed and Collaborative Learning Approach for Stroke Prediction
  • Aymen Wali, Abderrazek Jemai and Hichem Mrabet. A Secure IoT Architecture for Industry 4.0
  • Hamdi Hassen. IoT Technologies for Smart Healthcare Buildings with Distributed Deep Learning Technique

AGENDA

Session 1: IA & Big Data in IoT Systems

Time Topic Authors
11:00–11:30 Distributed and Collaborative Learning Approach for Stroke Prediction. Aissaoui Firas, Boudali Imen, and Abdellatif Takoua
11:30–12:00 IoT Technologies for Smart Healthcare Buildings with Distributed Deep Learning Technique. Hamdi Hassen
12:00–12:30 From functional requirements to NoSQL database models: application to IoT Geospatial Data. Fatimata Dia, Nawel Bayar, and Takoua Abdellatif
12:30–14:00 LUNCH

Session 2: Security in IoT systems

Time Topic Authors
14:00–14:30 A Secure IoT Architecture for Industry 4.0 Aymen Wali, Abderrazek Jemai, and Hichem Mrabet
14:30–15:00 How Does Blockchain Enhance Zero Trust Security in IoMT? Boughdiri Maher, Takoua Abdellatif, and Chirine Ghedira Guegan
15:00–15:30 A survey on intrusion detection systems for IoT networks based on long short-term memory Nour Elhouda Oueslati, Hichem Mrabet, and Abderrazek Jemai
15:30–16:00 HIPAA and GDPR compliance in IoT healthcare systems Abdelmlak Said, Aymen Yahyaoui, and Takoua Abdellatif