Bottom up approach to manage data privacy policy through the front end filter paradigm

An increasing number of business services for private companies and citizens are accomplished trough the web and mobile devices. Such a scenario is characterized by high dynamism and untrustworthiness, as a large number of applications exchange different kinds of data. This poses an urgent need for effective means in preserving data privacy. This paper proposes an approach, inspired to the front-end trust filter paradigm, to manage data privacy in a very flexible way. Preliminary experimentation suggests that the solution could be a promising path to follow for web-based transactions which will be very widespread in the next future

The future of Cybersecurity in Italy: Strategic focus area

This volume has been created as a continuation of the previous one, with the aim of outlining a set of focus areas and actions that the Italian Nation research community considers essential. The book touches many aspects of cyber security, ranging from the definition of the infrastructure and controls needed to organize cyberdefence to the actions and technologies to be developed to be better protected, from the identification of the main technologies to be defended to the proposal of a set of horizontal actions for training, awareness raising, and risk management

Local and transboundary transmission of methicillin-resistant Staphylococcus aureus sequence type 398 through pig trading

Livestock-associated methicillin-resistant Staphylococcus aureus sequence type (ST) 398 (LA-MRSA ST398) is a genetic lineage for which pigs are regarded as the main reservoir. An increasing prevalence of LA-MRSA ST398 has been reported in areas with high livestock density throughout Europe. In this study, we have investigated the drivers contributing to the introduction and spread of LA-MRSA ST398 along the pig farming system in Southern Italy. Whole-genome sequencing (WGS) of LA-MRSA ST398 isolates collected in 2018 from pigs (n=53) and employees (n=14) from 10 farms in the Calabria region were comparatively analysed with previously published WGS data from Italian ST398 isolates (n=45), an international ST398 reference collection (n=89) and isolates from Danish pigs farms (n=283), which are the main suppliers of pigs imported to Italy. Single-nucleotide polymorphisms (SNP) were used to infer isolates relatedness and, together with data from animal trading, factors contributing to LA-MRSA ST398 dissemination were identified. The analyses support the existence of two concurrent pathways for the spread of LA-MRSA ST398 in Southern Italy: i) multiple introductions of LA-MRSA ST398 through the import of colonized pigs from other European countries including Denmark and France and; ii) the spread of distinct clones dependent on local trading of pigs between farms. Phylogenetically related Italian and Danish LA-MRSA ST398 isolates shared extensive similarities including carriage of antimicrobial resistance genes. Our findings highlight the potential risk of transboundary transmission of antimicrobial-resistant bacterial clones with a high zoonotic potential when importing pigs from countries with high LA-MRSA prevalence

Improving Software Comprehension through an Automated Dependency Tracer

The paper presents ANALYST, a tool that automates impact analysis by exploiting a framework that implements dependency based software representation models. The preliminary experimental results show that it supports the improvement of software representation models to be used in software comprehension. Moreover, the tool allows the maintainer to perform more accurate and correct changes, decreasing the software degradation effect. Finally, it is shown that the tool can be used as a general platform for experimenting with different impact analysis approaches, and for assessing and comparing their effectiveness with the use of suitable metric

ProMisE: a Framework for Process models custoMisation to the opErative context

Process diversity has recently become a target for the attention of a large part of the Software Engineering community. It implies that in order for a process model to be effective it must be specialized with respect to the context in which the process is execute. The authors face this problem by proposing ProMisE, a process pattern based framework able to capitalize the experiences gained in using a process model in diverse environments. It is an experience base focused on process models

Iterative reengineering to compensate for Quick-Fix maintenance

A typical approach to software maintenance is analyzing just the source code, applying some patches, releasing the new version, and then updating the documentation. This quick-fix approach usually leads to documentation not aligned with the current system and degrades the original system structure, thus rendering the evolution of the system costly and error-prone. Although there are alternative maintenance models which avoid these problems, by analyzing and updating the system documentation first, the quick-fix approach continues to be popular because of the time pressure for new releases and the resistance to change of maintenance programmers. In this paper, we propose an iterative reengineering model which can be run each time the maintainability and reliability of a software system degrade under a tolerance level. The reengineering process, applied after a number of modifications, can result in renovation of the current system or, simply, in realignment of the documentation. In this context, reengineering is no longer a one-shot process but becomes an ordinary process which runs concurrently with the quick-fix maintenance process. The results obtained with an industrial case study are presented and the lessons learned are discussed