209 research outputs found
A Survey on Forensics and Compliance Auditing for Critical Infrastructure Protection
The broadening dependency and reliance that modern societies have on essential services
provided by Critical Infrastructures is increasing the relevance of their trustworthiness. However, Critical
Infrastructures are attractive targets for cyberattacks, due to the potential for considerable impact, not just
at the economic level but also in terms of physical damage and even loss of human life. Complementing
traditional security mechanisms, forensics and compliance audit processes play an important role in ensuring
Critical Infrastructure trustworthiness. Compliance auditing contributes to checking if security measures are
in place and compliant with standards and internal policies. Forensics assist the investigation of past security
incidents. Since these two areas significantly overlap, in terms of data sources, tools and techniques, they can
be merged into unified Forensics and Compliance Auditing (FCA) frameworks. In this paper, we survey the
latest developments, methodologies, challenges, and solutions addressing forensics and compliance auditing
in the scope of Critical Infrastructure Protection. This survey focuses on relevant contributions, capable of
tackling the requirements imposed by massively distributed and complex Industrial Automation and Control
Systems, in terms of handling large volumes of heterogeneous data (that can be noisy, ambiguous, and
redundant) for analytic purposes, with adequate performance and reliability. The achieved results produced
a taxonomy in the field of FCA whose key categories denote the relevant topics in the literature. Also, the
collected knowledge resulted in the establishment of a reference FCA architecture, proposed as a generic
template for a converged platform. These results are intended to guide future research on forensics and
compliance auditing for Critical Infrastructure Protection.info:eu-repo/semantics/publishedVersio
Adoption of the big data concept in the construction industry
A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.The Big Data (BD) boom has increased exponentially in recent years, reaching even the most
traditional industries. In construction, the migration towards sustainability and new
technologies that produce user and environmentally friendly projects is now a requirement in
almost every country. Meanwhile, BD technology has become a possible solution to the
challenges that the industry faces nowadays with some authors naming this technology as the
future of construction. However, despite this reception, studies that explain in detail the factors
that favour the adoption of BD are scarce or non-existent and the adoption itself has proven
to be a challenge, especially in industries such as construction that are not technology driven.
Understanding the critical factors that influence BD adoption has become the focus of many
industries that seek to exploit the benefits offered by this technology. Therefore, the aim of
this research is to explore the adoption of BD in the construction industry. First, the awareness
of the Dominican Republic’s construction industry on the BD concept, its characteristics, and
benefits was assessed. The key drivers, strategies, and challenges regarding the adoption of
BD in the industry were also investigated. A qualitative method was selected to identify these
strategies due to the lack of maturity and the scarcity of sources that address the subject.
Semi-structured interviews were selected as the data collection tool, and content and thematic
analysis were chosen to acquire an in-depth knowledge of the interviews. Endsley’s model of
situational awareness was adapted to provide a better understanding of the industry’s
awareness of BD. The sampling technique adopted was non-probabilistic due to some of the
specific criteria identified during the secondary data collection process. In the data collection
process, 21 interviews were conducted with representatives of 19 organisations with an
undoubted presence in the construction market of the Dominican Republic. The results
showed that there is an overall basic level of awareness about BD in the construction industry
of the Dominican Republic. Moreover, nine key drivers for BD adoption were identified and
grouped into internal and external drivers. Additionally, four main strategies or central policies
for adopting the technology and seven main challenges were identified. These findings were
used to develop an organisation readiness assessment tool and a strategic framework for BD
adoption in the construction industry. This study concluded that new technologies such as Big
Data (BD) require a change in the industry's culture and the adoption of digital approaches to
be fully implemented. The findings of this research provide valuable insights that can help the
construction industry adopt BD technology, thus accessing the short and long-term benefits
that this technology offers.Government of the Dominican Republic through the Ministry of Higher Education, Science and Technology
Dutkat: A Privacy-Preserving System for Automatic Catch Documentation and Illegal Activity Detection in the Fishing Industry
United Nations' Sustainable Development Goal 14 aims to conserve and sustainably use the oceans and their resources for the benefit of people and the planet. This includes protecting marine ecosystems, preventing pollution, and overfishing, and increasing scientific understanding of the oceans. Achieving this goal will help ensure the health and well-being of marine life and the millions of people who rely on the oceans for their livelihoods. In order to ensure sustainable fishing practices, it is important to have a system in place for automatic catch documentation.
This thesis presents our research on the design and development of Dutkat, a privacy-preserving, edge-based system for catch documentation and detection of illegal activities in the fishing industry. Utilising machine learning techniques, Dutkat can analyse large amounts of data and identify patterns that may indicate illegal activities such as overfishing or illegal discard of catch. Additionally, the system can assist in catch documentation by automating the process of identifying and counting fish species, thus reducing potential human error and increasing efficiency. Specifically, our research has consisted of the development of various components of the Dutkat system, evaluation through experimentation, exploration of existing data, and organization of machine learning competitions. We have also implemented it from a compliance-by-design perspective to ensure that the system is in compliance with data protection laws and regulations such as GDPR. Our goal with Dutkat is to promote sustainable fishing practices, which aligns with the Sustainable Development Goal 14, while simultaneously protecting the privacy and rights of fishing crews
Mission-Critical Communications from LMR to 5G: a Technology Assessment approach for Smart City scenarios
Radiocommunication networks are one of the main support tools of agencies that carry out
actions in Public Protection & Disaster Relief (PPDR), and it is necessary to update these
communications technologies from narrowband to broadband and integrated to information
technologies to have an effective action before society. Understanding that this problem
includes, besides the technical aspects, issues related to the social context to which these
systems are inserted, this study aims to construct scenarios, using several sources of
information, that helps the managers of the PPDR agencies in the technological decisionmaking
process of the Digital Transformation of Mission-Critical Communication considering
Smart City scenarios, guided by the methods and approaches of Technological Assessment
(TA).As redes de radiocomunicações são uma das principais ferramentas de apoio dos órgãos que
realizam ações de Proteção Pública e Socorro em desastres, sendo necessário atualizar essas
tecnologias de comunicação de banda estreita para banda larga, e integra- las às tecnologias
de informação, para se ter uma atuação efetiva perante a sociedade . Entendendo que esse
problema inclui, além dos aspectos técnicos, questões relacionadas ao contexto social ao qual
esses sistemas estão inseridos, este estudo tem por objetivo a construção de cenários,
utilizando diversas fontes de informação que auxiliem os gestores destas agências na tomada
de decisão tecnológica que envolve a transformação digital da Comunicação de Missão Crítica
considerando cenários de Cidades Inteligentes, guiado pelos métodos e abordagens de
Avaliação Tecnológica (TA)
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