The L3i is a research lab of the University of La Rochelle. La Rochelle is a city in the south west of
France on the Atlantic coast and is one of the most attractive and dynamic cities in France. The L3i
works since several years on fraud detection in documents and document security and has become a
worldwide reference in this domain.
The work done by the post-doc will take part in the context of the SPIRIT (European funding by the
CHIST-ERA program) and SVP-IoT (funding of the Region Nouvelle Aquitaine) projects. As the
adoption of digital technologies expands, it becomes vital to build trust and confidence in the
integrity of such technology. The SPIRIT and SVP-IoT projects will investigate the proof of concept of
employing novel secure and privacy-ensuring techniques in services set-up in the Internet of Things
(IoT) environment, aiming to increase the trust of users in IoT-based systems. The proposed system
will address distinct issues related to security and privacy, hence, overcoming the lack of user
confidence, which inhibits utilization of IoT technology.
The work of the L3i within those projects is to develop a technology based on creating a content-
based signature of user data/ documents, in order to ensure the integrity of sent data upon arrival.
This technology has also been developed at the University of La Rochelle [1, 2, 3] but has not yet
been employed in the IoT domain. The projects aim to build upon the highly significant results
produced by the partners and to research the challenges of how these technologies can be adapted
for IoT environment.
More specifically, the work done by the post-doc will consist in two main objectives: (1) extracting
content from IoT device data by analyzing the input IoT device data in order to prepare the data for
analysis and semantics extraction; (2) computing a unique content-based signature to allow
authenticating an IoT data object independently of its physical representation.
Hence, this work will consist of two parts: data/ document analysis and signature computation. In the
first part, an IoT data object will be analyzed in order to obtain a robust description of the object,
which is independent of the acquisition mode and source. The different components of the
document and their spatial relationships (for images this would be printed text, tables, graphics,
stamps, handwritten signature…) will be extracted. The aim is to obtain a stable decomposition and
reliable content extraction, which conforms to the requirements of the subsequent security-assuring
The signature computation method, which is the second part, combines cryptographic hash
algorithms and perceptual hash algorithms. The cryptographic signature is based on the robust
description of the IoT data object. This allows authenticating any object even if it has been subjected
to minor modifications as long as these modifications do not change any part of the semantic
University of La Rochelle
Candidates must have a completed PhD and research experience in image processing and analysis or
• Good programming skills mastering at least one programming language like Java, Python, C/C++
• Good teamwork skills
• Good writing skills and proficiency in written and spoken English or French
About MIA Lab-University La Rochelle
Le « Laboratoire de Mathématiques Calcul Asymptotique » a été créé à la rentrée 1993 sur la base du projet « Calcul Asymptotique » proposé par G. Wallet. D’abord labellisé Jeune Équipe, il sera reconnu par le ministère Équipe d’accueil (3165) pour le contrat quadriennal 2000-2003. Le projet initial, centré sur les fondements et les méthodes du calcul asymptotique, s’est enrichi progressivement de nouvelles thématiques : probabilités et calcul stochastique, aspects géométriques et algébriques des systèmes dynamiques, étude qualitative des solutions d’équations aux dérivées partielles , modélisation en économie et écologie … Compte tenu de ces évolutions, pour le contrat 2004-2007, le laboratoire change de nom pour devenir « Laboratoire de Mathématiques et Applications ».
Durant ce contrat, de nouvelles collaborations vont se mettre en place notamment avec les chercheurs du laboratoire L3I de La Rochelle, mais également avec les chercheurs du laboratoire SIC de Poitiers. On trouvera dans la rubrique Partenari