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This open access book constitutes the proceedings of the 8th International Conference on Principles of Security and Trust, POST 2019, which took place in Prague, Czech Republic, in April 2019, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2019.
The 10 papers presented in this volume were carefully reviewed and selected from 27 submissions. They deal with theoretical and foundational aspects of security and trust, including on new theoretical results, practical applications of existing foundational ideas, and innovative approaches stimulated by pressing practical problems. |
We introduce and investigate a notion of multivalued λ-dissipative probability vector field (MPVF) in the Wasserstein space P2(X) of Borel probability measures on a Hilbert space X. Taking inspiration from the theories of dissipative operators in Hilbert spaces and of Wasserstein gradient flows for geodesically convex functionals, we study local and global well posedness of evolution equations driven by dissipative MPVFs. Our approach is based on a measure-theoretic version of the Explicit Euler scheme, for which we prove novel convergence results with optimal error estimates under an abstract stability condition, which do not rely on compactness arguments and also hold when X
has infinite dimension. |
This study analyzes the influence of human capital (HC) and altruism on small- and medium-size firms’ (SMEs) performance, contingent upon the effect of family involvement in management. HC, understood as the abilities, skills, and knowledge of firm personnel, has been proved to contribute to firm performance. Even more, firms’ outcomes benefit from aptitudes and also from attitudes, such as altruism. What is not so clear is if having a family character enhances the effect of HC and altruism on firm performance. Our results show that family involvement in management presents lights and shadows in its ability to extract all the potential of HC and altruism. By moving one-step forward in understanding these relationships, our findings contribute to the Family Firm, Human Resources Mana... |
With frequent political conflicts and public health emergencies, global supply chains are constantly under risk interference, significantly reducing supply chain resilience (SCR), especially for the knowledge-intensive supply chains (KISCs). To assess and improve the resilience of KISC, this paper uses complex network theory to construct a directed weighted network model suitable for KISC and expresses the SCR as a comprehensive capability that can resist risk and recover from it. Using quantitative indicators plus qualitative assessment to quantify the resilience index and identify the network key nodes. Two resilience improvement paths are proposed for KISCs, improving firms’ development capacity and industrial backup. |
This paper is about shipping runtime verification to the masses. It presents the crucial technology enabling everyday car owners to monitor the behaviour of their cars in-the-wild. Concretely, we present an Android app that deploys RTLOLA runtime monitors for the purpose of diagnosing automotive exhaust emissions. For this, it harvests the availability of cheap Bluetooth adapters to the On-Board-Diagnostics (OBD) ports, which are ubiquitous in cars nowadays. The app is a central piece in a set of tools and services we have developed for black-box analysis of automotive vehicles. |
We explore the separability of point sets in the plane by a restricted-orientation convex hull, which is an orientation-dependent, possibly disconnected, and non-convex enclosing shape that generalizes the convex hull. Let R and B be two disjoint sets of red and blue points in the plane, and O be a set of k≥2 lines passing through the origin. We study the problem of computing the set of orientations of the lines of O for which the O-convex hull of R contains no points of B. For k=2 orthogonal lines we have the rectilinear convex hull. In optimal O(nlogn)
time and O(n) space, n=|R|+|B|, we compute the set of rotation angles such that, after simultaneously rotating the lines of O around the origin in the same direction, the rectilinear convex hull of R contains no points of B. |
The COVID-19 pandemic has severely affected the lives of people worldwide, and consequently, it has dominated world news since March 2020. Thus, it is no surprise that it has also been the topic of a massive amount of misinformation, which was most likely amplified by the fact that many details about the virus were not known at the start of the pandemic. While a large amount of this misinformation was harmless, some narratives spread quickly and had a dramatic real-world effect. Such events are called digital wildfires. In this paper we study a specific digital wildfire: the idea that the COVID-19 outbreak is somehow connected to the introduction of 5G wireless technology, which caused real-world harm in April 2020 and beyond. |
This paper examines the impact of a policy reform in a municipality in Norway that extended to workers the right to self-certify sickness absence from work. After the reform, workers were no longer obliged to obtain a certificate from a physician to receive sickness benefits. They could call in sick directly to their line leader and had to engage in a counselling program organized by the employer. To estimate the effect of this reform, we contrast the change in sickness absence among employees who were granted the extended right to self-certify absence with absence among employees who had to obtain a physician’s certificate to be entitled to sickness benefits. We use both a standard difference-in-differences method and the synthetic control method to estimate the effect of the refor... |
Gaining more insights on how R&D&i subsidies are allocated is highly relevant for companies and policymakers. This article provides new evidence of the identification of some key drivers for companies participating in R&D&i project selection processes. It extends the existing literature by providing insight based on sophisticated, accurate methodology. A metaheuristic optimization algorithm is employed to select the most useful variables. Their importance is then ranked using a machine learning process, namely a random forest. A sample of 1252 cases of R&D&i subsidies is used for more than 800 companies based in Spain between 2014 and 2018. |
This work introduces a novel approach for data-driven model reduction of time-dependent parametric partial differential equations. Using a multi-step procedure consisting of proper orthogonal decomposition, dynamic mode decomposition, and manifold interpolation, the proposed approach allows to accurately recover field solutions from a few large-scale simulations. Numerical experiments for the Rayleigh-Bénard cavity problem show the effectiveness of such multi-step procedure in two parametric regimes, i.e., medium and high Grashof number. The latter regime is particularly challenging as it nears the onset of turbulent and chaotic behavior. |
