Polarization Dependent Loss (PDL) is expected to severely impact next-generation optical systems. It is a non-unitary effect that reduces the benefit of multiplexing in polarization in terms of channel capacity. In this presentation, I will present the associated loss of capacity and then provide solutions, both at the transmitter and at the receiver, that offer a resilience to this effect.
Arnaud Dumenil was born in Besançon, France in 1991. He received his Engineering Diploma from Centrale Marseille and a MSc in Telecommunications from DTU, Denmark, both in 2016. He then received a PhD degree in May 2020 from the Institut Polytechnique de Paris, in strong collaboration with Nokia Bell Labs in France. His thesis addressed optical communications with non-unitary effects. He just started a post-doctoral research at the ETIS laboratory focusing on short-blocklength error correcting codes for IoT applications.
Link to the article: https://arxiv.org/pdf/2001.07162.pdf
With the emergence of URLLC and mMTC, corresponding low complexity and low latency security mechanisms are needed. Promising lightweight mechanisms include physical unclonable functions (PUF), secret key generation (SKG) at the physical layer and localization based authentication, as considered in this talk. We will demonstrate how physical layer security (PLS) allows building a new breed of low latency security schemes, such as zero-round-trip-time (0-RTT) resumption authentication protocols combining PUF and SKG processes. Furthermore, hybrid PLS and crypto schemes, such as authenticated encryption (AE) using SKG, will be introduced. We will conclude this talk with a discussion on future directions in 6G security.
Dr. Arsenia Chorti is an Associate Professor (MCF) at ETIS UMR8051 since Sept. 2017 and Head of the ICI team of ETIS. She obtained her PhD from Imperial College; from 2010 to 2012 she was a Research Fellow at Princeton University where she is currently a visiting researcher. She served as Senior Lecturer and Lecturer at the Universities of Middlessex and Essex in 2008-2009 and 2013-2017, respectively. Her research interests include PLS and wireless communications and has published more than 70 journals, book chapters and conference papers in these topics. She a member of the IEEE Future Networks Security Workgroup, the IEEE Teaching Awards Committee, the IEEE P1940 Standardization Workgroup and an Associate Editor of the IEEE Open Journal in Signal Processing.
Le réseau sans fil corporel (WBAN) a reçu beaucoup d’attention dans le domaine de la surveillance médicale en raison de sa commodité. Compte tenu de la sécurité de l’utilisateur, des économies d’énergie des appareils WBAN, de l’occlusion et l’atténuation des signaux du corps humain et des effets de la mobilité humaine sur la connexion entre les capteurs, une communication efficace et sécurisée reste un défi pour la communication dans intra WBAN.
Je vous présenterai le modèle de base du système WBAN que nous avons étudié et l’analyse des performances. À partir de cela, nous proposons un modèle basé sur une chaîne de Markov en temps continu représentant la communication de diffusion dans le WBAN. Ce modèle nous permet de calculer différents types de performances du système WBAN. De plus, nous étendons le système WBAN à un modèle théorique et nous avons étudié l’efficacité de la diffusion à l’aide du schéma d’étiquetage.
Pluridisciplinary systems are complex by controlling and integrating entities of various natures: physics, information, computational, network elements that are combined to execute a precise task. At this level of complexity, the main difficulty in analyzing this type of system relies in modeling each component separately as well as the way in which the various components inter-operate especially with the existing of an important number of connected low-energy nodes or human/social factor.
This talk aims to answer these problems by proposing a formal and practical framework where it is possible to model different aspects of components, their connectivity, and to assess how well they are secure. First, the talk details the modeling aspect and the formalization of these systems, and present the dedicated analysis approach. Then, it introduces a mechanism to specify and to constraint security in such system. Farther, I take this opportunity to present my ongoing research activities.
Samir Ouchani received the PhD degree in 2013 from the department of Computer Science & Computer Engineering, Concordia University, Canada. Since 2017, he is enseignant-chercheur at CESI Engineering High School (Aix-en-Provence, France) and focuses on developing and applying formal methods as well as data mining to design, analyze, and harden security in large-scale systems. His research interests are: computer security, software engineering, formal methods, and data mining. Samir’s ongoing research activities look to develop techniques to strengthen security and detecting flaws on interdisciplinary systems such as: cyber-physical systems and inter-connected objects.