The CENDARI infrastructure is a research supporting platform designed to provide tools for transnational historical research, focusing on two topics: Medieval culture and World War I. It exposes to the end users modern web-based tools relying on a sophisticated infrastructure to collect, enrich, annotate, and search through large document corpora. Supporting researchers in their daily work is a novel concern for infrastructures. We describe how we gathered requirements through multiple methods to understand the historians' needs and derive an abstract workflow to support them. We then outline the tools we have built, tying their technical descriptions to the user requirements. The main tools are the Note Taking Environment and its faceted search capabilities, the Data Integration platform including the Data API, supporting semantic enrichment through entity recognition, and the environment supporting the software development processes throughout the project to keep both technical partners and researchers in the loop. The outcomes are technical together with new resources developed and gathered, and the research workflow that has been described and documented.

Most recently, the application of titanium endosteal mini implants have proved to be one of good solutions in overcoming unfavorable anatomical conditions resulting in stability and retention of total lower dentures.

We address a class of authentication protocols called “HB” ones and the man-in-the-middle (MIM) attack, reported at the ASIACRYPT conference, called OOV-MIM (Ouafi-Overbeck-Vaudenay MIM). Analysis of the considered attack and its systematic experimental evaluation are given. It is shown that the main component of OOV-MIM, the algorithm for measuring the Hamming weight of noise vectors, outputs incorrect results as a consequence of the employed approximation of the probability distributions. The analysis reveals that, practically, the only scenario in which the OOV-MIM attack is effective is the one in which two incorrect estimations produced by the algorithm for measuring the Hamming weight, when coupled, give the correct result. This paper provides additional insights into the OOV-MIM and corrected claims about the performance/complexity showing that the performances of the considered attack have been overestimated, i.e., that the complexity of the attack has been underestimated. Particularly, the analysis points out the reasons for the incorrect claims and to the components of the attack that do not work as expected.

This paper considers the problem of data access control when the subscribers are IoT devices with initialization that cannot be updated during the entire life cycle. A generic framework and a particular instance for conditional data access control within IoT are proposed. The generic framework is based on the employment of a dedicated secret key-based broadcast encryption scheme where encrypted credentials for conditional data access is available in the blockchain and encrypted data subject to conditional access are available in an off-chain source of streaming data. Reduction of the keys management overhead in comparison with a straightforward decryption keys delivery is experimentally illustrated. An instance of the proposed framework built over the Ethereum blockchain platform is developed and experimentally evaluated.