Titlebook: ICT Systems Security and Privacy Protection; 37th IFIP TC 11 Inte Weizhi Meng,Simone Fischer-Hübner,Christian D. Jen Conference proceedings

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Light-Weight File Fragments Classification Using Depthwise Separable Convolutionsentify the type of file fragments without relying on meta-data. Examples of such approaches are using features like header/footer and N-gram to identify the fragment type. Recently, deep learning models have been successfully used to build classification models to achieve this task. In this paper, w

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Novel Approaches for the Development of Trusted IoT Entitiesto allow communication among these actors. In order to guarantee trust in an IoT entity, we believe that it must be considered during the whole System Development Life Cycle (SDLC). Anyhow, we think that usual development techniques are not effective for the IoT. For this reason, in this paper, we d

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Requirements and Secure Serialization for Selective Disclosure Verifiable Credentialsplications and use cases. With this shift to user-centric credential systems, Selective Disclosure has been proposed and used to cryptographically secure user privacy. Although much work has been undertaken in creating selective disclosure supporting cryptographic protocols, those schemas are not di

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d with few endemics, but many surveys have been conducted in the last two decades and it is now possible to perform a more accurate and realistic analysis of Caatinga lizard diversity and biogeography. Our objectives in the present chapter are to (1) review the literature on the origin and diversifi

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Alexander Richter,Patrick Kühtreiber,Delphine Reinhardt8 species belonging to 12 families, with 20 endemic species and 67% of the regional diversity concentrated in two families: Hylidae and Leptodactylidae. We generated a surface of potential anuran richness based on binary maps generated through niche modeling. Our resulting map corroborated most area

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