1,018 research outputs found
Contextualized Security Interventions in Password Transmission Scenarios
Usable security user studies as well as the number of successful attacks to end users’ data and devices show that today’s security interventions like the green URL bar and self-signed certificate warnings do not protect end users effectively for many reasons. To improve the situation, we proposed the Framework fOr Contextualized security Interventions (FOCI). While this framework provides general guidelines how to develop contextualized security interventions, this is the first paper in which this framework is applied to actually develop adequate security intervention strategies and intervention content. We focus on a subset of security- and privacy-critical scenarios in the context of web applications – namely those in which users visit web pages containing a password filed. If either the communication is not confidential and authenticated or the service behind the web page is not trustworthy, entering a password can have consequences like financial loss and privacy leakage in particular for users reusing their passwords for several different web pages. Therefore, it is important to provide effective security interventions for these scenarios. 
Proceedings of the Designing interactive secure systems workshop (DISS 2012).
In recent years, the field of usable security has attracted researchers from HCI and Information Security, and led to a better understanding of the interplay between human factors and security mechanisms. Despite these advances, designing systems which are both secure in, and appropriate for, their contexts of use continues to frustrate both researchers and practitioners. One reason is a misunderstanding of the role that HCI can play in the design of secure systems. A number of eminent security researchers and practitioners continue to espouse the need to treat people as the weakest link, and encourage designers to build systems that Homer Simpson can use. Unfortunately, treating users as a problem can limit the opportunities for innovation when people are engaged as part of a solution. Similarly, while extreme characters (such as Homer) can be useful for envisaging different modes of interaction, when taken out of context they risk disenfranchising the very people the design is meant to support. Better understanding the relationship between human factors and the design of secure systems is an important step forward, but many design research challenges still remain. There is growing evidence that HCI design artefacts can be effective at supporting secure system design, and that some alignment exists between HCI, security, and software engineering activities. However, more is needed to understand how broader insights from the interactive system design and user experience communities might also find traction in secure design practice. For these insights to lead to design practice innovation, we also need usability and security evaluation activities that better support interaction design, together with software tools that augment, rather than hinder, these design processes. Last, but not least, we need to share experiences and anecdotes about designing usable and secure systems, and reflect on the different ways of performing and evaluating secure interaction design research. The objective of this workshop is to act as a forum for those interested in the design of interactive secure systems. By bringing together a like-minded community of researchers and practitioners, we hope to share knowledge gleaned from recent research, as well as experiences designing secure and usable systems in practice
Analyzing the impact of mobile technology on mobile-centric youth in South Africa
Includes abstract.Includes bibliographical references.Our research documents the successful development of a system for stakeholders in the low-income urban environment, to facilitate the dissemination of information through enhanced mobile technology. The research project took place in Khayelitsha, Cape Town. Before beginning the formal study we entered the environment to better understand mobile technology practices amongst low-income urban teenagers and how we could supplement these practices by providing a means of media dissemination to the relevant stakeholders in the environment. We allied ourselves with two local stakeholders, the Ikamva Youth NGO and the Nazeema Isaacs local library staff. These organizations would provide us with access to low-income urban teenagers, and they were interested in adopting alternative technology to disseminate media to these youth
Empirical Studies on Secure Development and Usage of Mobile Health Applications
Mobile technologies, comprising portable devices, context-sensitive software applications, and wireless networking protocols, are being increasingly adopted to exploit services offered for pervasive computing platforms. The utilisation of mobile health (mHealth) apps in the healthcare domain has become a promising tool to improve and support delivering health services in a pervasive manner. mHealth apps enable health professionals and providers to monitor their patients remotely (e.g., managing patients with chronic diseases). mHealth apps enable expanding healthcare coverage (e.g., reaching places where little or no healthcare is available). Furthermore, mHealth apps were used to reduce the spread of disease and infection (e.g., the Covid-19 tracking apps). The use of mHealth apps will enhance the quality of healthcare, reduce the cost, and more convenient for patients. The security of mHealth apps becomes a significant concern due to the privacy and integrity of health-critical data. The interest of attackers in healthcritical data (medical records, clinical reports, disease symptoms, etc.) has increased due to its value in the ‘black market’ as well as the social, legal, and financial consequences of compromised data. This thesis focuses on understanding the security of mHealth apps based on (a) developers' and (b) end-users perspectives by conducting a set of empirical studies. To empirically investigate the existing research, a systematic literature review (SLR) was conducted to gain a deeper understanding of the security challenges, which hinder the development of secure mHealth apps. Based on the findings of the SLR, first, we conducted a survey-based study - involving 97 mHealth apps developers from 25 countries and six continents to investigate the practitioners’ perspectives on security challenges, practices, and motivational factors that help developers to ensure the security of mHealth apps. Second, we conducted survey research - involving 101 endusers from two Saudi Arabian health providers to examine their security awareness about using clinical mHealth apps. We complement the end-users research by conducting an attack simulation study - involving 105 end-users from 14 countries and five continents to investigate their security behaviours when using mHealth apps. The empirical studies in this thesis contribute to (i) providing developers' perspectives on critical challenges, best practices, and motivating factors that support the engineering and development of emerging and next-generation secure mHealth apps; (ii) providing empirical evidence and a set of guidelines to facilitate researchers, practitioners, and stakeholders to develop and adopt secure mHealth apps for clinical practices and public health; (iii) providing empirical evidence using action-driven measurement on human security behaviour when using mHealth apps, and presented the potential mechanisms that lead end-users to make improper security decisions.Thesis (Ph.D.) -- University of Adelaide, School of Computer Science, 202
Transactions of the First International Conference on Health Information Technology Advancement vol. 1, no. 1
Full proceedings of The First International Conference on Health Information Technology Advancement held at Western Michigan University in Kalamazoo, Michigan on October 28, 2011.
Conference Co-Chairs:
Dr. Bernard Han, Director of the Center for HIT Advancement (CHITA) at Western Michigan University
Dr. Sharie Falan, Associate Director of the Center for HIT Advancement (CHITA) at Western Michigan University
Transactions Editor:
Dr. Huei Lee, Professor in the Department of Computer Information Systems at Eastern Michigan Universit
Internet of Things Architectures for Enhanced Living Environments
Ambient Assisted Living (AAL) is an emerging multidisciplinary research area that aims to create
an ecosystem of different types of sensors, computers, mobile devices, wireless networks, and
software applications for enhanced living environments and occupational health. There are
several challenges in the development and implementation of an effective AAL system, such as
system architecture, human-computer interaction, ergonomics, usability, and accessibility.
There are also social and ethical challenges, such as acceptance by seniors and the privacy and
confidentiality that must be a requirement of AAL devices. It is also essential to ensure that
technology does not replace human care and is used as a relevant complement.
The Internet of Things (IoT) is a paradigm where objects are connected to the Internet and
support sensing capabilities. IoT devices should be ubiquitous, recognize the context, and
support intelligence capabilities closely related to AAL. Technological advances allow defining
new advanced tools and platforms for real-time health monitoring and decision making in the
treatment of various diseases. IoT is a suitable approach to building healthcare systems, and it
provides a suitable platform for ubiquitous health services, using, for example, portable sensors
to carry data to servers and smartphones for communication. Despite the potential of the IoT
paradigm and technologies for healthcare systems, several challenges to be overcome still
exist. The direction and impact of IoT in the economy are not clearly defined, and there are
barriers to the immediate and ubiquitous adoption of IoT products, services, and solutions.
Several sources of pollutants have a high impact on indoor living environments. Consequently,
indoor air quality is recognized as a fundamental variable to be controlled for enhanced health
and well-being. It is critical to note that typically most people occupy more than 90% of their
time inside buildings, and poor indoor air quality negatively affects performance and
productivity.
Research initiatives are required to address air quality issues to adopt legislation and real-time
inspection mechanisms to improve public health, not only to monitor public places, schools,
and hospitals but also to increase the rigor of building rules. Therefore, it is necessary to use
real-time monitoring systems for correct analysis of indoor air quality to ensure a healthy
environment in at least public spaces. In most cases, simple interventions provided by
homeowners can produce substantial positive impacts on indoor air quality, such as avoiding
indoor smoking and the correct use of natural ventilation.
An indoor air quality monitoring system helps the detection and improvement of air quality
conditions. Local and distributed assessment of chemical concentrations is significant for safety (e.g., detection of gas leaks and monitoring of pollutants) as well as to control heating,
ventilation, and HVAC systems to improve energy efficiency. Real-time indoor air quality
monitoring provides reliable data for the correct control of building automation systems and
should be assumed as a decision support platform on planning interventions for enhanced living
environments. However, the monitoring systems currently available are expensive and only
allow the collection of random samples that are not provided with time information. Most
solutions on the market only allow data consulting limited to device memory and require
procedures for downloading and manipulating data with specific software. In this way, the
development of innovative environmental monitoring systems based on ubiquitous technologies
that allow real-time analysis becomes essential.
This thesis resulted in the design and development of IoT architectures using modular and
scalable structures for air quality monitoring based on data collected from cost-effective
sensors for enhanced living environments. The proposed architectures address several
concepts, including acquisition, processing, storage, analysis, and visualization of data. These
systems incorporate an alert management Framework that notifies the user in real-time in poor
indoor air quality scenarios. The software Framework supports multiple alert methods, such as
push notifications, SMS, and e-mail. The real-time notification system offers several advantages
when the goal is to achieve effective changes for enhanced living environments. On the one
hand, notification messages promote behavioral changes. These alerts allow the building
manager to identify air quality problems and plan interventions to avoid unhealthy air quality
scenarios. The proposed architectures incorporate mobile computing technologies such as
mobile applications that provide ubiquitous air quality data consulting methods s. Also, the
data is stored and can be shared with medical teams to support the diagnosis.
The state-of-the-art analysis has resulted in a review article on technologies, applications,
challenges, opportunities, open-source IoT platforms, and operating systems. This review was
significant to define the IoT-based Framework for indoor air quality supervision. The research
leads to the development and design of cost-effective solutions based on open-source
technologies that support Wi-Fi communication and incorporate several advantages such as
modularity, scalability, and easy installation. The results obtained are auspicious, representing
a significant contribution to enhanced living environments and occupational health.
Particulate matter (PM) is a complex mixture of solid and liquid particles of organic and
inorganic substances suspended in the air. Moreover, it is considered the pollutant that affects
more people. The most damaging particles to health are ≤PM10 (diameter 10 microns or less),
which can penetrate and lodge deep within the lungs, contributing to the risk of developing
cardiovascular and respiratory diseases as well as lung cancer. Taking into account the adverse
health effects of PM exposure, an IoT architecture for automatic PM monitoring was proposed.
The proposed architecture is a PM real-time monitoring system and a decision-making tool. The
solution consists of a hardware prototype for data acquisition and a Web Framework developed in .NET for data consulting. This system is based on open-source and technologies, with several
advantages compared to existing systems, such as modularity, scalability, low-cost and easy
installation. The data is stored in a database developed in SQL SERVER using .NET Web services.
The results show the ability of the system to analyze the indoor air quality in real-time and the
potential of the Web Framework for the planning of interventions to ensure safe, healthy, and
comfortable conditions.
Associations of high concentrations of carbon dioxide (CO2) with low productivity at work and
increased health problems are well documented. There is also a clear correlation between high
levels of CO2 and high concentrations of pollutants in indoor air. There are sufficient reasons
to monitor CO2 and provide real-time notifications to improve occupational health and provide
a safe and healthy indoor living environment. Taking into account the significant influence of
CO2 for enhanced living environments, a real-time IoT architecture for CO2 monitoring was
proposed. CO2 was selected because it is easy to measure and is produced in quantity (by people
and combustion equipment). It can be used as an indicator of other pollutants and, therefore,
of air quality in general. The solution consists of a hardware prototype for data acquisition
environment, a Web software, and a smartphone application for data consulting. The proposed
architecture is based on open-source technologies, and the data is stored in a SQL SERVER
database. The mobile Framework allows the user not only to consult the latest data collected
but also to receive real-time notifications in poor indoor air quality scenarios, and to configure
the alerts threshold levels. The results show that the mobile application not only provides easy
access to real-time air quality data, but also allows the user to maintain parameter history and
provide a history of changes. Consequently, this system allows the user to analyze in a precise
and detailed manner the behavior of air quality.
Finally, an air quality monitoring solution was implemented, consisting of a hardware prototype
that incorporates only the MICS-6814 sensor as the detection unit. This system monitors various
air quality parameters such as NH3 (ammonia), CO (carbon monoxide), NO2 (nitrogen dioxide),
C3H8 (propane), C4H10 (butane), CH4 (methane), H2 (hydrogen) and C2H5OH (ethanol). The
monitoring of the concentrations of these pollutants is essential to provide enhanced living
environments. This solution is based on Cloud, and the collected data is sent to the ThingSpeak
platform. The proposed Framework combines sensitivity, flexibility, and measurement
accuracy in real-time, allowing a significant evolution of current air quality controls. The results
show that this system provides easy, intuitive, and fast access to air quality data as well as
relevant notifications in poor air quality situations to provide real-time intervention and
improve occupational health. These data can be accessed by physicians to support diagnoses
and correlate the symptoms and health problems of patients with the environment in which
they live. As future work, the results reported in this thesis can be considered as a starting point for the
development of a secure system sharing data with health professionals in order to serve as
decision support in diagnosis.Ambient Assisted Living (AAL) é uma área de investigação multidisciplinar emergente que visa
a construção de um ecossistema de diferentes tipos de sensores, microcontroladores,
dispositivos móveis, redes sem fios e aplicações de software para melhorar os ambientes de
vida e a saúde ocupacional. Existem muitos desafios no desenvolvimento e na implementação
de um sistema AAL, como a arquitetura do sistema, interação humano-computador, ergonomia,
usabilidade e acessibilidade. Existem também problemas sociais e éticos, como a aceitação por
parte dos utilizadores mais vulneráveis e a privacidade e confidencialidade, que devem ser uma
exigência de todos os dispositivos AAL. De facto, também é essencial assegurar que a tecnologia
não substitua o cuidado humano e seja usada como um complemento essencial.
A Internet das Coisas (IoT) é um paradigma em que os objetos estão conectados à Internet e
suportam recursos sensoriais. Tendencialmente, os dispositivos IoT devem ser omnipresentes,
reconhecer o contexto e ativar os recursos de inteligência ambiente intimamente relacionados
ao AAL. Os avanços tecnológicos permitem definir novas ferramentas avançadas e plataformas
para monitorização de saúde em tempo real e tomada de decisão no tratamento de várias
doenças. A IoT é uma abordagem adequada para construir sistemas de saúde sendo que oferece
uma plataforma para serviços de saúde ubíquos, usando, por exemplo, sensores portáteis para
recolha e transmissão de dados e smartphones para comunicação. Apesar do potencial do
paradigma e tecnologias IoT para o desenvolvimento de sistemas de saúde, muitos desafios
continuam ainda por ser resolvidos. A direção e o impacto das soluções IoT na economia não
está claramente definido existindo, portanto, barreiras à adoção imediata de produtos, serviços
e soluções de IoT.
Os ambientes de vida são caracterizados por diversas fontes de poluentes. Consequentemente,
a qualidade do ar interior é reconhecida como uma variável fundamental a ser controlada de
forma a melhorar a saúde e o bem-estar. É importante referir que tipicamente a maioria das
pessoas ocupam mais de 90% do seu tempo no interior de edifícios e que a má qualidade do ar
interior afeta negativamente o desempenho e produtividade.
É necessário que as equipas de investigação continuem a abordar os problemas de qualidade do
ar visando a adoção de legislação e mecanismos de inspeção que atuem em tempo real para a
melhoraria da saúde e qualidade de vida, tanto em locais públicos como escolas e hospitais e
residências particulares de forma a aumentar o rigor das regras de construção de edifícios. Para
tal, é necessário utilizar mecanismos de monitorização em tempo real de forma a possibilitar
a análise correta da qualidade do ambiente interior para garantir ambientes de vida saudáveis.
Na maioria dos casos, intervenções simples que podem ser executadas pelos proprietários ou ocupantes da residência podem produzir impactos positivos substanciais na qualidade do ar
interior, como evitar fumar em ambientes fechados e o uso correto de ventilação natural.
Um sistema de monitorização e avaliação da qualidade do ar interior ajuda na deteção e na
melhoria das condições ambiente. A avaliação local e distribuída das concentrações químicas é
significativa para a segurança (por exemplo, deteção de fugas de gás e supervisão dos
poluentes) bem como para controlar o aquecimento, ventilação, e sistemas de ar condicionado
(HVAC) visando a melhoria da eficiência energética. A monitorização em tempo real da
qualidade do ar interior fornece dados fiáveis para o correto controlo de sistemas de automação
de edifícios e deve ser assumida com uma plataforma de apoio à decisão no que se refere ao
planeamento de intervenções para ambientes de vida melhorados. No entanto, os sistemas de
monitorização atualmente disponíveis são de alto custo e apenas permitem a recolha de
amostras aleatórias que não são providas de informação temporal. A maioria das soluções
disponíveis no mercado permite apenas a acesso ao histórico de dados que é limitado à memória
do dispositivo e exige procedimentos de download e manipulação de dados com software
proprietário. Desta forma, o desenvolvimento de sistemas inovadores de monitorização
ambiente baseados em tecnologias ubíquas e computação móvel que permitam a análise em
tempo real torna-se essencial.
A Tese resultou na definição e no desenvolvimento de arquiteturas para monitorização da
qualidade do ar baseadas em IoT. Os métodos propostos são de baixo custo e recorrem a
estruturas modulares e escaláveis para proporcionar ambientes de vida melhorados. As
arquiteturas propostas abordam vários conceitos, incluindo aquisição, processamento,
armazenamento, análise e visualização de dados. Os métodos propostos incorporam
Frameworks de gestão de alertas que notificam o utilizador em tempo real e de forma ubíqua
quando a qualidade do ar interior é deficiente. A estrutura de software suporta vários métodos
de notificação, como notificações remotas para smartphone, SMS (Short Message Service) e email.
O método usado para o envio de notificações em tempo real oferece várias vantagens
quando o objetivo é alcançar mudanças efetivas para ambientes de vida melhorados. Por um
lado, as mensagens de notificação promovem mudanças de comportamento. De facto, estes
alertas permitem que o gestor do edifício e os ocupantes reconheçam padrões da qualidade do
ar e permitem também um correto planeamento de intervenções de forma evitar situações em
que a qualidade do ar é deficiente. Por outro lado, o sistema proposto incorpora tecnologias
de computação móvel, como aplicações móveis, que fornecem acesso omnipresente aos dados
de qualidade do ar e, consequentemente, fornecem soluções completas para análise de dados.
Além disso, os dados são armazenados e podem ser partilhados com equipas médicas para
ajudar no diagnóstico.
A análise do estado da arte resultou na elaboração de um artigo de revisão sobre as tecnologias,
aplicações, desafios, plataformas e sistemas operativos que envolvem a criação de arquiteturas
IoT. Esta revisão foi um trabalho fundamental na definição das arquiteturas propostas baseado em IoT para a supervisão da qualidade do ar interior. Esta pesquisa conduz a um
desenvolvimento de arquiteturas IoT de baixo custo com base em tecnologias de código aberto
que operam como um sistema Wi-Fi e suportam várias vantagens, como modularidade,
escalabilidade e facilidade de instalação. Os resultados obtidos são muito promissores,
representando uma contribuição significativa para ambientes de vida melhorados e saúde
ocupacional.
O material particulado (PM) é uma mistura complexa de partículas sólidas e líquidas de
substâncias orgânicas e inorgânicas suspensas no ar e é considerado o poluente que afeta mais
pessoas. As partículas mais prejudiciais à saúde são as ≤PM10 (diâmetro de 10 micrómetros ou
menos), que podem penetrar e fixarem-se dentro dos pulmões, contribuindo para o risco de
desenvolver doenças cardiovasculares e respiratórias, bem como de cancro do pulmão. Tendo
em consideração os efeitos negativos para a saúde da exposição ao PM foi desenvolvido numa
primeira fase uma arquitetura IoT para monitorização automática dos níveis de PM. Esta
arquitetura é um sistema que permite monitorização de PM em tempo real e uma ferramenta
de apoio à tomada de decisão. A solução é composta por um protótipo de hardware para
aquisição de dados e um portal Web desenvolvido em .NET para consulta de dados. Este sistema
é baseado em tecnologias de código aberto com várias vantagens em comparação aos sistemas
existentes, como modularidade, escalabilidade, baixo custo e fácil instalação. Os dados são
armazenados numa base de dados desenvolvida em SQL SERVER e são enviados com recurso a
serviços Web. Os resultados mostram a capacidade do sistema de analisar em tempo real a
qualidade do ar interior e o potencial da Framework Web para o planeamento de intervenções
com o objetivo de garantir condições seguras, saudáveis e confortáveis.
Associações de altas concentrações de dióxido de carbono (CO2) com défice de produtividade
no trabalho e aumento de problemas de saúde encontram-se bem documentadas. Existe
também uma correlação evidente entre altos níveis de CO2 e altas concentrações de poluentes
no ar interior. Tendo em conta a influência significativa do CO2 para a construção de ambientes
de vida melhorados desenvolveu-se uma solução de monitorização em tempo real de CO2 com
base na arquitetura de IoT. A arquitetura proposta permite também o envio de notificações em
tempo real para melhorar a saúde ocupacional e proporcionar um ambiente de vida interior
seguro e saudável. O CO2 foi selecionado, pois é fácil de medir e é produzido em quantidade
(por pessoas e equipamentos de combustão). Assim, pode ser usado como um indicador de
outros poluentes e, portanto, da qualidade do ar em geral. O método proposto é composto por
um protótipo de hardware para aquisição de dados, um software Web e uma aplicação
smartphone para consulta de dados. Esta arquitetura é baseada em tecnologias de código
aberto e os dados recolhidos são armazenados numa base de dados SQL SERVER. A Framework
móvel permite não só consultar em tempo real os últimos dados recolhidos, receber
notificações com o objetivo de avisar o utilizador quando a qualidade do ar está deficiente,
mas também para configurar alertas. Os resultados mostram que a Framework móvel fornece não apenas acesso fácil aos dados da qualidade do ar em tempo real, mas também permite ao
utilizador manter o histórico de parâmetros. Assim este sistema permite ao utilizador analisar
de maneira precisa e detalhada o comportamento da qualidade do ar interior.
Por último, é proposta uma arquitetura para monitorização de vários parâmetros da qualidade
do ar, como NH3 (amoníaco), CO (monóxido de carbono), NO2 (dióxido de azoto), C3H8
(propano), C4H10 (butano), CH4 (metano), H2 (hidrogénio) e C2H5OH (etanol). Esta arquitetura é
composta por um protótipo de hardware que incorpora unicamente o sensor MICS-6814 como
unidade de deteção. O controlo das concentrações destes poluentes é extremamente relevante
para proporcionar ambientes de vida melhorados. Esta solução tem base na Cloud sendo que os
dados recolhidos são enviados para a plataforma ThingSpeak. Esta Framework combina
sensibilidade, flexibilidade e precisão de medição em tempo real, permitindo uma evolução
significativa dos atuais sistemas de monitorização da qualidade do ar. Os resultados mostram
que este sistema fornece acesso fácil, intuitivo e rápido aos dados de qualidade do ar bem
como notificações essenciais em situações de qualidade do ar deficiente de forma a planear
intervenções em tempo útil e melhorar a saúde ocupacional. Esses dados podem ser acedidos
pelos médicos para apoiar diagnósticos e correlacionar os sintomas e problemas de saúde dos
pacientes com o ambiente em que estes vivem.
Como trabalho futuro, os resultados reportados nesta Tese podem ser considerados um ponto
de partida para o desenvolvimento de um sistema seguro para partilha de dados com
profissionais de saúde de forma a servir de suporte à decisão no diagnóstico
Guidelines for cybersecurity education campaigns
In our technology- and information-infused world, cyberspace is an integral part of modern-day society. As the number of active cyberspace users increases, so too does the chances of a cyber threat finding a vulnerable target increase. All cyber users who are exposed to cyber risks need to be educated about cyber security. Human beings play a key role in the implementation and governing of an entire cybersecurity and cybersafety solution. The effectiveness of any cybersecurity and cybersafety solutions in a societal or individual context is dependent on the human beings involved in the process. If these human beings are either unaware or not knowledgeable about their roles in the security solution they become the weak link in these cybersecurity solutions. It is essential that all users be educated to combat any threats. Children are a particularly vulnerable subgroup within society. They are digital natives and make use of ICT, and online services with increasing frequency, but this does not mean they are knowledgeable about or behaving securely in their cyber activities. Children will be exposed to cyberspace throughout their lifetimes. Therefore, cybersecurity and cybersafety should be taught to children as a life-skill. There is a lack of well-known, comprehensive cybersecurity and cybersafety educational campaigns which target school children. Most existing information security and cybersecurity education campaigns limit their scope. Literature reports mainly on education campaigns focused on primary businesses, government agencies and tertiary education institutions. Additionally, most guidance for the design and implementation of security and safety campaigns: are for an organisational context, only target organisational users, and mostly provide high-level design recommendations. This thesis addressed the lack of guidance for designing and implementing cybersecurity and cybersafety educational campaigns suited to school learners as a target audience. The thesis aimed to offer guidance for designing and implementing education campaigns that educate school learners about cybersecurity and cybersafety. This was done through the implementation of an action research process over a five-year period. The action research process involved cybersecurity and cybersafety educational interventions at multiple schools. A total of 18 actionable guidelines were derived from this research to guide the design and implementation of cybersecurity and cybersafety education campaigns which aim to educate school children
D1.3 List of available solutions
This report has been submitted by Tempesta Media SL as deliverable D1.3 within the framework of H2020 project "SO-CLOSE: Enhancing Social Cohesion through Sharing the Cultural Heritage of Forced Migrations" Grant No. 870939.This report aims to conduct research on the specific topics and needs of the SO-CLOSE project, addressing the available solutions through a state-of-the-art digital tools analysis, applied in the cultural heritage and migration fields. More specifically the report's scope is:To define proper tools and proceedings for the interview needs -performing, recording, transcription, translation. To analyse potential content gathering tools for the co-creation workshops. To conduct a state-of-the-art sharing tools analysis, applied in the cultural heritage and migration fields, and propose a critically adjusted and innovative digital approach
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