Projects

DSTN > Projects > IoT SDC

Project investigators

  • ACE MITIC, Senegal
    • Prof. Cherif Diallo, Gaston Berger University, Senegal
  • ACE SMIA, Benin
    • Prof. Eugène Ezin, University of Abomey-Calavi, Benin

Other partners

  • Prof. Mady Cisse, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar, République du Sénégal
DSTN > Projects > IoT SDC

Title: IoT Smart Data Classifier

Project title: Research Project (4 years)

Abstract:
The emergence of the Internet of Things (IoT) exposes many objects and devices to the risk of becoming, a thingbot, i.e. a botnet integrating connected objects. Using machine learning and deep learning, artificial intelligence can help in the development of a smart data classifier to strengthen security. Thus, the expected results of this project are multiple:

In the field of cybersecurity:

  • AI can draw on information about known cyber threats to instantly detect any attempted attack.
  • In addition, learning can continue to improve over time and thus provide a strong defense against threats.
  • AI can also be used for more secure mutual authentication processes between connected objects.
  • Through data analysis, it can indeed create a dynamic framework for finding correlations between threats and events in order to initiate an immediate reaction in case of incident detection.

In food safety field:

  • AI can contribute to a better classification after identifying the nutritional and medicinal properties of local products.
  • Thanks to odor and taste sensors, combined with an intelligent classification mechanism, AI will contribute to the establishment of an electronic nose and tongue as essential components in the organoleptic (or sensory) qualification of local products.
  • It can also help to make effective the traceability of events that may occur in the supply chain, in order to guarantee compliance with the hygienic conditions, storage, respect for the cold chain and the deadlines for consumption of products.
  • Finally, applications could be implemented to make available to populations and at all times, the social and economic possibility of obtaining healthy and nutritious food allowing them to satisfy their food needs and preferences in order to lead a healthy and active life.

Keywords:

  • Research themes in digital science: Internet of Things (IoT), Artificial Intelligence, Neural networks, Cybersecurity, Food security
  • Other research themes and application areas: Food safety, Organoleptic quality, Innovation of local products, nutritional and medicinal properties, food preference.
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