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Data Sharing Agreements: How to Glue Definition, Analysis and Mapping Together.
An electronic data sharing agreement (DSA) is a human-readable, yet machine-processable contract, regulating how organisations and/or individuals share data. Its smooth definition and fluid lifecycle management are key aspects for enabling data protection in various contexts, from e-government to the provision of business and healthcare services, for example.Data sharing is becoming ever easier with the support of highly-connected ICT systems. Individuals, businesses and governments are increasingly choosing to use cloud infrastructure to store data, owing to recent reductions in cost and the functionalities provided by the cloud, such as easy sharing of data. Data sharing, however, poses several problems, including privacy and data misuse issues, as well as uncontrolled propagation of data. Thus, a secure and private way for data exchange, storage, and management is essent
Prima di tutto abbiamo costruito l?Internet delle persone
il CNUCE aveva appena collegato l?Italia a Internet, l\u27autrice era arrivata pochi mesi prima. Laureata in matematica, specializzata in calcolo automatico, due anni in un istituto di informatica giuridica, racconta quanto fu emozionante lavorare proprio li in mezzo a quei cervelloni di Pisa
L\u27Attivit? di Testing nel Sistema Sincrono del ccTLD .it
L\u27attivit? di testing ? diventata cruciale in un pi? ampio modello di sviluppo e manutenzione di un\u27applicazione software, specialmente nel caso in cui l\u27applicazione presenti un elevato livello di complessit?. Il testing automatizzato consente di effettuare, in poco tempo, una verifica puntuale, tempestiva, replicabile, indipendente dall\u27esperienza del collaudatore. Anche il sistema sincrono per la registrazione e gestione dei nomi a dominio del ccTLD .it necessita di una continua ed intensa attivit? di testing per garantire un elevato livello di affidabilit? delle proprie funzionalit?. In questo documento, sono descritti i concetti basilari, le tecnologie e la modalit? in accordo ai quali viene condotta l\u27attivit? di testing di due applicazioni del sistema sincrono del ccTLD.it: il server EPP ed il sistema dei controlli periodici
ARP: il Portale di Accreditamento dei Registrar del Registro .it
Il sistema sincrono di gestione dei nomi a dominio sotto il ccTLD .it ? basato sul protocollo EPP e consente la registrazione e la gestione dei nomi a dominio in tempo reale. A differenza del precedente sistema asincrono, basato sull\u27invio di documentazione cartacea, i Registrar devono, per portare avanti la propria normale operativit?, dotarsi di un client EPP che comunichi con il server EPP del Registro .it. Un aspirante Registrar deve, pertanto, superare una fase di accreditamento tecnico per dimostrare che il proprio client abbia correttamente implementato il protocollo EPP in accordo alle linee guida tecniche delRegistro .it. Il portale ARP (Accreditation Registrar Portal) ? lo strumento messo a disposizione dal Registro .it per supportare un aspirante Registrar durante la fase di accreditamento tecnico
Interactive Wireless Charging for Energy Balance
We study how to efficiently transfer energy wirelessly in ad hoc networks of battery-limited devices, toward prolonging their lifetime. In contrast to the state-of-the-art, we assume a much weaker population of distributed devices which are exchanging energy in a ?peer to peer?, bi-directional manner with each other, without any special charger nodes. We address a quite general case of diverse energy levels and priorities in the network and study the problem of how the system can efficiently reach a weighted energy balance state distributively, under both loss-less and lossy power transfer assumptions. Three protocols are designed, analyzed, and evaluated, achieving different performance trade-offs between energy balance quality, convergence time, and energy efficiency
Introduction to ReSA4CI 2016.
Third International Workshop on Reliability and Security Aspects for Critical Infrastructure protection description
Analysis of Co-Authorship Ego Networks
The availability of co-authorship data from large-scale electronic databases is paving the way for new analyses on human collaboration networks. The complex network of co-authorships can identify specific features that characterise the behaviour of researchers, and impact on their production and performance. In this paper, we analyse a large sample of data regarding scientific publications from Google Scholar. The aim of our analysis is to study a fundamental aspect of co-authorship networks, i.e. the structure of authors? ego networks. Specifically, we highlight the existence of a hierarchical organisation of these networks in a series of concentric circles, quite similar to that found in general human social networks. In addition, we highlight some properties of the correlation between the ego network structure and the authors scientific productivity, measured in terms of h-index.The availability of co-authorship data from large-scale electronic databases is paving the way for new analyses on human collaboration networks. The complex network of co-authorships can identify specific features that characterise the behaviour of researchers, and impact on their production and performance. In this paper, we analyse a large sample of data regarding scientific publications from Google Scholar. The aim of our analysis is to study a fundamental aspect of co-authorship networks, i.e. the structure of authors? ego networks. Specifically, we highlight the existence of a hierarchical organisation of these networks in a series of concentric circles, quite similar to that found in general human social networks. In addition, we highlight some properties of the correlation between the ego network structure and the authors scientific productivity, measured in terms of h-index
Semi-supervised knowledge extraction for detection of drugs and their effects
New Psychoactive Substances (NPS) are drugs that lay in a grey area of legislation, since they are not internationally and officially banned, possibly leading to their not prosecutable trade. The exacerbation of the phenomenon is that NPS can be easily sold and bought online. Here, we consider large corpora of textual posts, published on online forums specialized on drug discussions, plus a small set of known substances and associated effects, which we call seeds. We propose a semi-supervised approach to knowledge extraction, applied to the detection of drugs (comprising NPS) and effects from the corpora under investigation. Based on the very small set of initial seeds, the work highlights how a contrastive approach and context deduction are effective in detecting substances and effects from the corpora. Our promising results, which feature a F1 score close to 0.9, pave the way for shortening the detection time of new psychoactive substances, once these are discussed and advertised on the Internet
Demo: Here&Now ? Data-centric local social interactions through opportunistic networks
Many of today\u27s popular online social networks are disconnected from their users\u27 immediate social and physical context, which makes them poorly suited for supporting transient, on-purpose social communities of co-located users. We introduce the idea of a local dataspace that can mediate social interactions via freely user modiable shared content.We demonstrate this concept via an opportunistic experience sharing application Here&Now.Many of today\u27s popular online social networks are disconnected from their users\u27 immediate social and physical context, which makes them poorly suited for supporting transient, on-purpose social communities of co-located users. We introduce the idea of a local dataspace that can mediate social interactions via freely user modiable shared content.We demonstrate this concept via an opportunistic experience sharing application Here&Now
LVS: A WiFi-based system to tackle Location Spoofing in location-based services
The reliability of location-based services (LBS) is strongly dependent on the accuracy of the location of the users. However, existing LBS systems are not able to efficiently validate the position of users in large-scale outdoor environments, leading to possible location spoofing attacks by malicious users. To this end, we present an efficient and scalable Location Validation System (LVS) that secures LBS systems from location spoofing attacks. In particular, the user location is verified with the help of mobile WiFi hotspots (MHSs), who are users activating the WiFi hotspot capability of their smartphones and accept connections from nearby users, thereby validating their position inside the sensing area. The system also comprises a novel verification technique called Chains of Sight, which tackles collusion-based attacks effectively. LVS also includes a reputation-based algorithm that rules out sensing reports of location-spoofing users