DCDS '20 - DSN Workshop on Data-Centric Dependability and Security

Valência, Espanha

The second Workshop on Data-Centric Dependability and Security will take place on June 29 and July 2, 2020 in València, Spain and is colocated with the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Today’s computing systems are increasingly networked, complex and diverse, integrating multiple distinct components with different configurations. They operate under increasing scales and in dynamic operating environments, generating more and more functional and non-functional data. Along with open source intelligence, these data can be fused and exploited to improve the security and dependability of systems, making them more resilient to cyberattacks, accident faults and unexpected operating conditions. Additionally, as systems grow in complexity and size, they become harder to manage and report on. This calls for solutions combining the latest advances in areas such as large-scale data processing, data science, visualization and machine and statistical learning.

Dependability and security are of the utmost importance for computing systems. Due to the scale and complexity of current systems, both aspects are a permanent and growing concern in industry and academia. On the one hand, the volume and diversity of functional and non-functional data, including open source information, along with increasingly dynamical operating environments, create additional obstacles to the dependability and security of systems. On the other hand, it creates an information rich environment that, leveraged by techniques from modern data science, machine and statistical learning, and visualization, will contribute to improve systems resilience in contexts of dynamic operating environments and unexpected operating conditions. As such, there is a strong demand for production-ready systems leveraging from data-centric solutions able to improve and, adaptively, maintain the dependability and security of computing systems.

The workshop aims at providing researchers with a forum to exchange and discuss scientific contributions and open challenges, both theoretical and practical, related to the use of data-centric approaches that promote the dependability and cybersecurity of computing systems. We want to foster joint work and knowledge exchange between the dependability and security communities, and researchers and practitioners from areas such as machine and statistical learning, and data science and visualization. The workshop provides a forum for discussing novel trends in data-centric processing technologies and the role of such technologies in the development of resilient systems. It aims to discuss novel approaches for processing and analysing data generated by the systems as well as information gathered from open sources, leveraging from data science, machine and statistical learning techniques, and visualization. The workshop shall contribute to identify new application areas as well as open and future research problems, for data-centric approaches to system dependability and security.

Evento coorganizado por Ibéria Medeiros e Pedro Ferreira, docentes do Departamento de Informática de Ciências ULisboa

Objectives: Lack of fertile land to feed the exponentially growing population, insufficient water availability and quality, changes in the flow of nutrients through the bio-geo-cycles (especially N and P) and climate and land use changes are impacting ecosystem

Objectives: Symbiosis is a key strategy for life on Earth.

Objectives: The goal of this course is to provide to the participants with current and practical knowledge on urban ecology, including ecological and social aspects. It aims at providing an integrated approach on urban socio-ecological systems.

Objectives: Citizen science can be part of the larger process of engaging people in new forms of interaction in scientific research, challenging scientists and citizens whilst enlarging scientific knowledge and providing learning opportunities for all part

Objectives: This course aims at: 1) exploring how scientists can use social media as tools to enhance the communication of their research and the dialogue with society, and 2) discussing the differences that exist in the work of scientists and journalists

Objectives: This course will teach how to apply the SWAT eco-hydrological model to assess the impacts of climate and associated changes on water-soil-plant interactions, and consequences to water resources, soil erosion and nutrient cycles.

Objectives: Provide students with basic knowledge of R programming, allowing them to manipulate and visualize data with R.

Objectives: Provide students with statistical knowledge and tools to manipulate, analyze and visualize biological data with R. Introduction to modeling, simulations and Bayesian statistics.

Objectives: This is a mostly practical course offering an overview on different community ecology and macroecological methods and software.

Objectives: This course introduces the field of island biogeography, a discipline that has long influenced other research areas such as macroecology, community ecology, evolution and conservation biology.

Objectives: This course offers an overview of the different ways to measure biodiversity, and provides tips for the stratification of primary biodiversity data and the construction of variables that describe its various facets.

Objectives: The course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems.

Objectives: Acquire knowledge regarding bioinformatic tools available to predict nucleic acid (RNA, DNA or Nucleic Acids Mimics) and protein three-dimensional structure, as well as autonomy and critical thinking in the use of those tools.

New date: 30 August - 03 September 2021.

This conference is the 22nd in the series of triennial conferences which bring together the Particle and Nuclear Physics communities.

Páginas