Higher Institute on Territorial Systems for Innovation
PORTO Publications Open Repository TOrinoNot a member yet
91193 research outputs found
Sort by
Towards Stronger Data Security in an eID Management Infrastructure
No full textElectronic identity (eID) is on everyone's lips as is increasingly used in various services nowadays. In Europe, the EU (European Union) Regulation N.910/2014 on electronic identification and trust services for electronic transactions in the internal market (eIDAS Regulation) has also created a legal structure for electronic identification, signatures, seals and documents throughout EU, so an intensive work is spent on putting it in practice. In this paper, we describe first the e-SENS (Electronic Simple European Networked Services) infrastructure, which is composed of (national) nodes set as part of the STORK 2.0 eID infrastructure and new nodes implementing the eIDAS specification. Since the e-SENS infrastructure uses the SAML (Security Assertion Markup Language) for authentication and attribute transfer, the data security is strongly related to SAML security. Moreover, it depends also on architecture complexity. We analyze two possible solutions for stronger data security in e-SENS: one is based on the exploitation of the SAML Holderof-Key web browser profile, while the other one exploits the encryption of the SAML tokens. We present details in adopting such solutions in e-SENS infrastructure and we discuss their pros and cons
Simplicial Data Analysis: theory, practice, and algorithms
No full textSimplicial complexes store in discrete form key information on a topological space, and have been used in mathematics to introduce combinatorial and discrete tools in geometry and topology. They represent a topological space as a collection of ‘simple elements' (such as vertices, edges, triangles, tetrahedra, and more general simplices) that are glued to each other in a structured manner. In the last 40 years, they have been a basic tool in computer visualization for storing and classifying different shapes of 3d images, then in the early 2000s these techniques were success- fully applied to more general data, not necessarily sampled from a metric space. The use of techniques borrowed from algebraic topology has been very successfull in analysing data from various fields: genomics, sensor analysis, brain connectomics, fMRI data, trade net- works, and new fields of application are being tested every day. Regrettably, topological data analysis has been used mainly as a qualitative method, the problem being the lack of proper tools to perform effective statistical analysis. Coming from well established techniques in random graph theory, the first models for random simplicial complexes have been introduced in recent years, none of which though can be used effectively in a quantitative analysis of data. We introduce a model that can be successfully used as a null model for simplicial complexes as it fixes the size distribution of facets. Another challenge is to successfully identify a simplicial complex which can correctly encode the topological space from which the initial data set is sampled. The most common solution is to build nesting simplicial complexes, and study the evolution of their features. A recent study uncovered that the problem can reside in making wrong assumption on the space of data. We propose a categorical reasoning which enlightens the cause leading to these misconceptions. We introduce a new category for weighted graphs and study its relation to other common categories when the weights are chosen in a poset. The construction of the appropriate simplicial complex is not the only obstacle one faces when applying topological methods to real data. Available algorithms for homological features extraction have a memory and time complexity which scales exponentially on the number of simplices, making these techniques not suitable for the analysis of ‘big data'. We propose a quantum algorithm which is able to track in logarithmic time the evolution of a quantum version of well known homological features along a filtration of simplicial complexes
A general exact elastic shell solution for bending analysis of functionally graded structures
No full text
Designing adaptive reuse strategies for cultural heritage with choice experiments
No full textThe introduction of the sustainable development concept in the field of cultural heritage preservation has led relevant changes to traditional interventions on historical buildings and areas. Although the idea of reusing cultural heritage is not new, the emerging concept of adaptive reuse stresses even more the importance of a holistic approach for addressing successful interventions. Selecting among the potential uses the one that could ensure the preservation of physical characters as well as intangible values, fueling economic development, is a challenging policy and design issue. In this context, this paper proposes the use of Choice Experiments to support the design of adaptive reuse strategies for three mostly unused castles in Northern Italy characterized by different states of conservation, accessibility and surrounding territorial contex