18 research outputs found

    A Practical Set-Membership Proof for Privacy-Preserving NFC Mobile Ticketing

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    To ensure the privacy of users in transport systems, researchers are working on new protocols providing the best security guarantees while respecting functional requirements of transport operators. In this paper, we design a secure NFC m-ticketing protocol for public transport that preserves users' anonymity and prevents transport operators from tracing their customers' trips. To this end, we introduce a new practical set-membership proof that does not require provers nor verifiers (but in a specific scenario for verifiers) to perform pairing computations. It is therefore particularly suitable for our (ticketing) setting where provers hold SIM/UICC cards that do not support such costly computations. We also propose several optimizations of Boneh-Boyen type signature schemes, which are of independent interest, increasing their performance and efficiency during NFC transactions. Our m-ticketing protocol offers greater flexibility compared to previous solutions as it enables the post-payment and the off-line validation of m-tickets. By implementing a prototype using a standard NFC SIM card, we show that it fulfils the stringent functional requirement imposed by transport operators whilst using strong security parameters. In particular, a validation can be completed in 184.25 ms when the mobile is switched on, and in 266.52 ms when the mobile is switched off or its battery is flat

    WeStat: a Privacy-Preserving Mobile Data Usage Statistics System

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    The preponderance of smart devices, such as smartphones, has boosted the development and use of mobile applications (apps) in the recent years. This prevalence induces a large volume of mobile app usage data. The analysis of such information could lead to a better understanding of users\u27 behaviours in using the apps they have installed, even more if these data can be coupled with a given context (location, time, date, sociological data...). However, mobile and apps usage data are very sensitive, and are today considered as personal. Their collection and use pose serious concerns associated with individuals\u27 privacy. To reconcile harnessing of data and privacy of users, we investigate in this paper the possibility to conduct privacy-preserving mobile data usage statistics that will prevent any inference or re-identification risks. The key idea is for each user to encrypt their (private and sensitive) inputs before sending them to the data processor. The possibility to perform statistics on those data is then possible thanks to the use of functional encryption, a cryptographic building block permitting to perform some allowed operations over encrypted data. In this paper, we first show how it is possible to obtain such individuals\u27 usage of their apps, which step is necessary for our use case, but can at the same time pose some security problems w.r.t. those apps. We then design our new encryption scheme, adding some fault tolerance property to a recent dynamic decentralized function encryption scheme. We finally show how we have implemented all that, and give some benchmarks

    Partenariat pour l’amĂ©lioration et la valorisation de la connaissance de la diversitĂ© floristique du dĂ©partement du Loiret: Rapport d'activitĂ© 2021

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    Le présent rapport détaille les actions et résultats obtenus en 2021 dans le cadre du partenariat entre le CBNBP et le Conseil Départemental du Loiret (inscrit dans sa 10Úme année). A l'image des années précédentes, l'expertise du CBNBP s'effectue autour de deux axes : d'une part l'actualisation de la connaissance de la flore vasculaire, bryophytes et champignons du département, ainsi que la conservation d'espÚces menacées et de l'animation du réseau de correspondants; d'autre part, l'amélioration de la prise en compte des enjeux floristiques dans l'entretien et la gestion des dépendances vertes des routes départementales

    High Fructose Diet inducing diabetes rapidly impacts olfactory epithelium and behavior in mice

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    indexation en coursInternational audienceType 2 Diabetes (T2D), a major public health issue reaching worldwide epidemic, has been correlated with lower olfactory abilities in humans. As olfaction represents a major component of feeding behavior, its alteration may have drastic consequences on feeding behaviors that may in turn aggravates T2D. In order to decipher the impact of T2D on the olfactory epithelium, we fed mice with a high fructose diet (HFruD) inducing early diabetic state in 4 to 8 weeks. After only 4 weeks of this diet, mice exhibited a dramatic decrease in olfactory behavioral capacities. Consistently, this decline in olfactory behavior was correlated to decreased electrophysiological responses of olfactory neurons recorded as a population and individually. Our results demonstrate that, in rodents, olfaction is modified by HFruD-induced diabetes. Functional, anatomical and behavioral changes occurred in the olfactory system at a very early stage of the disease
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