2,030 research outputs found
Medical data processing and analysis for remote health and activities monitoring
Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for medical data processing and analysis; (3) big medical data analytics for remote health monitoring; (4) research challenges and opportunities in medical data analytics; (5) examples of case studies and practical solutions
Smart Factories, Dumb Policy? Managing Cybersecurity and Data Privacy Risks in the Industrial Internet of Things
Interest is booming in the so-called Internet of Things (IoT). The Industrial Internet of Things (IIoT) is one application of this trend and involves the use of smart technologies in a manufac- turing context. Even though these applications hold the promise to revolutionize manufacturing, there are a number of outstand- ing cybersecurity and data privacy issues impacting the realiza- tion of the myriad benefits promised by IIoT proponents. This ar- ticle analyzes some of these pressing issues, focusing on: (1) critical infrastructure protection and cybersecurity due diligence, (2) trends in transatlantic data privacy protections, and (3) the regulation of new technologies like artificial intelligence (AI) and blockchain. The aticle concludes with a list of recommendations for state and federal policymakers to consider in an effort to harden the IIoT along with the supply chains critical to the con- tinued development of smart factories
Evaluating the Contextual Integrity of Privacy Regulation: Parents' IoT Toy Privacy Norms Versus COPPA
Increased concern about data privacy has prompted new and updated data
protection regulations worldwide. However, there has been no rigorous way to
test whether the practices mandated by these regulations actually align with
the privacy norms of affected populations. Here, we demonstrate that surveys
based on the theory of contextual integrity provide a quantifiable and scalable
method for measuring the conformity of specific regulatory provisions to
privacy norms. We apply this method to the U.S. Children's Online Privacy
Protection Act (COPPA), surveying 195 parents and providing the first data that
COPPA's mandates generally align with parents' privacy expectations for
Internet-connected "smart" children's toys. Nevertheless, variations in the
acceptability of data collection across specific smart toys, information types,
parent ages, and other conditions emphasize the importance of detailed
contextual factors to privacy norms, which may not be adequately captured by
COPPA.Comment: 18 pages, 1 table, 4 figures, 2 appendice
Privacy of IoT-Enabled Smart Home Systems
Digital ecosystems are going through a period of change due to the advancement in technologies such as Internet of Things (IoT) as well as proliferation of less expensive hardware sensors. Through this chapter, we present current emerging trends in IoT in different industry sectors as well as discuss the key privacy challenges impeding the growth of IoT to reach its potential in the smart home context. The majority of the existing literature on IoT smart home platforms focuses on functionalities provided by smarter connected devices; however, it does not address the concerns from a consumerâs viewpoint. Thus, the key questions are: What are the privacy concerns related to IoT, particularly from a âsmart home deviceâ consumer viewpoint? What are the existing remedial approaches for privacy management? This chapter proposes a framework to assist smart home user and IoT device manufacturer to make informed privacy management decisions. The findings of this research intend to help practitioners and researchers interested in the privacy of IoT-enabled smart systems
Dwarna : a blockchain solution for dynamic consent in biobanking
Dynamic consent aims to empower research partners and facilitate active participation in the research process. Used within
the context of biobanking, it gives individuals access to information and control to determine how and where their
biospecimens and data should be used. We present Dwarnaâa web portal for âdynamic consentâ that acts as a hub
connecting the different stakeholders of the Malta Biobank: biobank managers, researchers, research partners, and the
general public. The portal stores research partnersâ consent in a blockchain to create an immutable audit trail of research
partnersâ consent changes. Dwarnaâs structure also presents a solution to the European Unionâs General Data Protection
Regulationâs right to erasureâa right that is seemingly incompatible with the blockchain model. Dwarnaâs transparent
structure increases trustworthiness in the biobanking process by giving research partners more control over which research
studies they participate in, by facilitating the withdrawal of consent and by making it possible to request that the biospecimen
and associated data are destroyed.peer-reviewe
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