HTML5, Javascript and modern browser technologies: toward a web based framework for device fingerprinting

Mentre navighiamo siamo veramente certi che i nostri dati e la nostra privacy siano al sicuro? I browser e le tecnologie di cui fanno uso possono rivelare una miriade di informazioni. Al crescere delle informazioni reperibili, si inizia a superare una massa critica che può permettere l'identificazione. Il device fingerprinting è proprio il rilevamento di questa tipologia di dati. HTML5 e le nuove API che esso mette a disposizione aumentano a dismisura le modalità per fare fingerprinting. Durante lo sviluppo della presente tesi è stato realizzato un framework molto potente che verrà mostrato nel dettaglio. Come a seguito di un disastro aereo, l'ingegneria aeronautica si mette all'opera per scovare i punti deboli allo scopo di rendere più robusti gli aerei di nuova generazione, noi con la presente tesi vogliamo dare il nostro contributo al miglioramento del web del futuro. Affinchè la nostra privacy sia veramente nelle nostre mani e possiamo essere artefici del nostro domani.

Las Casas as a bishop : a new interpretation based on his holograph petition in the Hans P. Kraus Collection of Hispanic American manuscripts = Las Casas, obispo : una nueva interpretación basada en su petición autógrafa conservada en la Colección Hans P. Kraus de manuscritos hispanoamericanos /

Includes indexes.

Manual of suggestions in form, drawing, and color for the public schools of the state of New York; based upon the official documents issued by the Board of regents and the Department of public instruction in the state of New York, specially arranged to meet the requirements for regents' and uniform examinations in these subjects,

Mode of access: Internet.

Web-based screening and brief intervention for hazardous drinking: a double-blind randomized controlled trial

Background Strong evidence exists for the efficacy of screening and brief intervention for reducing hazardous drinking. However, problems have been highlighted with respect to its implementation in health-care systems, not least of which is a reluctance of some doctors to discuss alcohol proactively with their patients. Aims To determine the efficacy of a novel web-based screening and brief intervention (e-SBI) to reduce hazardous drinking. Design A double-blind randomized controlled trial. Setting A university student health service. Participants A total of 16 7 students (17-26 years) were recruited in the reception area and completed a 3-minute web-based screen including the Alcohol Use Disorder Identifiation Test (AUDIT) questionnaire. Of these, 112 tested positive, and 104 (52 females) who consented to follow-up were included in the trial. Measurements Drinking frequency, typical occasion quantity, total volume, heavy episode frequency (females > 80 g ethanol, males > 120 g ethanol), number of personal problems, an academic problems score. Intervention Participants were randomized to 10-15 minutes of web-based assessment and personalized feedback on their drinking (intervention, n = 5 1) or to a leaflet-only control group (n = 5 3). Findings Mean baseline AUDIT scores for control and intervention groups were 16.6 (SD = 6.0) and 16.6 (SD = 5.7). At 6 weeks, participants receiving e-SBI reported significantly lower total consumption (geometric mean ratio = 0.74; 9 5 % confidence interval: 0.56-0.96), lower heavy episode frequency (0.63; 0.42-0.92) and fewer personal problems (0.70; 0.54-0.91). At 6 months personal problems remained lower (0.76; 0.60-0.97), although consumption did not differ significantly. At 6 months, academic problems were lower in the intervention group relative to controls (0.72; 0.51-1.02). Conclusions e-SBI reduced hazardous drinking among university students, to an extent similar to that found for practitioner-delivered brief interventions in the general population. e-SBI offers promise as a strategy to reduce alcohol-related harm in a way that is non-intrusive, appealing to the target group, and capable of being incorporated into primary care. Research is required to replicate the findings, to determine the duration of intervention effects, and to investigate the mechanisms by which the intervention operates.

Multiresolution spatial databases: Making web-based spatial advances faster

Spatial data has now been used extensively in the Web environment, providing online customized maps and supporting map-based applications. The full potential of Web-based spatial applications, however, has yet to be achieved due to performance issues related to the large sizes and high complexity of spatial data. In this paper, we introduce a multiresolution approach to spatial data management and query processing such that the database server can choose spatial data at the right resolution level for different Web applications. One highly desirable property of the proposed approach is that the server-side processing cost and network traffic can be reduced when the level of resolution required by applications are low. Another advantage is that our approach pushes complex multiresolution structures and algorithms into the spatial database engine. That is, the developer of spatial Web applications needs not to be concerned with such complexity. This paper explains the basic idea, technical feasibility and applications of multiresolution spatial databases.

Semantic caching for web-based spatial applications

Client-side caching of spatial data is an important yet very much under investigated issue. Effective caching of vector spatial data has the potential to greatly improve the performance of spatial applications in the Web and wireless environments. In this paper, we study the problem of semantic spatial caching, focusing on effective organization of spatial data and spatial query trimming to take advantage of cached data. Semantic caching for spatial data is a much more complex problem than semantic caching for aspatial data. Several novel ideas are proposed in this paper for spatial applications. A number of typical spatial application scenarios are used to generate spatial query sequences. An extensive experimental performance study is conducted based on these scenarios using real spatial data. We demonstrate a significant performance improvement using our ideas.