A new data clustering strategy for enhancing mutual privacy in healthcare IoT systems

Guo, Xuancheng; Lin, Hui; Wu, Yulei; Peng, Min

doi:10.1016/j.future.2020.07.023

Cited by 71 publications

(36 citation statements)

References 20 publications

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“…Starlink) to share clinical data between patients and physicians. Data shared in wireless networks often pose a threat of privacy leakage during the process of communication for analysis [391,392]. Strengthening the security and protecting the privacy of participants, patients, and cluster centers should be considered when developing new technologies [392].…”

Section: Issues With Current Screening and Diagnostic Tools: The Need For New Or Improved Techniquesmentioning

confidence: 99%

Breast cancer, screening and diagnostic tools: All you need to know

Barba

León-Sosa

Lugo

et al. 2021

Critical Reviews in Oncology/Hematology

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Issues With Current Screening and Diagnostic Tools: The Need For New Or Improved Techniquesmentioning

confidence: 99%

Breast cancer, screening and diagnostic tools: All you need to know

Barba

León-Sosa

Lugo

et al. 2021

Critical Reviews in Oncology/Hematology

View full text Add to dashboard Cite

show abstract

“…In IoT-based healthcare, studies on encryption and authentication protocols for user 8 Mobile Information Systems Figure 6: Keyword co-occurrence network obtained using VOSviewer. Mobile Information Systems authentication [120][121][122][123] and data encryption for patient privacy protection [124][125][126][127] are relevant. Safe and efficient medical data retrieval is important for remote medical monitoring.…”

Section: Keyword Clustering and Evolution Of Research On Iotmentioning

confidence: 99%

“…With the spread of IoT applications, smart health is becoming an attractive paradigm. As it deals with user information and sensitive medical information, the security and mutual authentication of medical sensor devices for personal information protection, encryption, and real-time monitoring are key elements [125,[170][171][172][173][174][175][176][177][178][179][180][181].…”

Section: Identification Of Topics In Iot Securitymentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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The smart mobile Internet-of-things (IoT) network lays the foundation of the fourth industrial revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this revolution gains momentum, the security of smart mobile IoT networks becomes an essential research topic. This study aimed to provide comprehensive insights on IoT security. To this end, we conducted a systematic mapping study of the literature to identify evolving trends in IoT security and determine research subjects. We reviewed the literature from January 2009 to August 2020 to identify influential researchers and trends of keywords. We additionally performed structural topic modeling to identify current research topics and the most promising ones via topic trend estimation. We synthesized and interpreted the results of the systematic mapping study to devise future research directions. The results obtained from this study are useful to understand current trends in IoT security and provide insights into research and development of IoT security.

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“…Another characteristic that needs to be optimized is the machine understanding. Guo et al [171] proposed that semantic technology that includes semantic annotation, reasoning and service based on associations for machine understanding in order to fulfill interoperability in IoT system. The third important optimization characteristic is a learning method in the decision making system.…”

Section: Definition Of Key Characteristics 2 Selection Of Measuring mentioning

confidence: 99%

“…There are different types of algorithms in order to perform learning. Some of them are decision tree, logistic regression, association rules, deep learning, clustering algorithms, and support vector machines (SVM) [171][172][173][174]. Researches and academicians mostly use all these learning algorithms but in real life applications, it is not possible to propose one algorithm due to diversity of IoT applications.…”

Section: Definition Of Key Characteristics 2 Selection Of Measuring mentioning

confidence: 99%

Analysis of factors affecting IoT-based smart hospital design

2020

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Currently, rapidly developing digital technological innovations affect and change the integrated information management processes of all sectors. The high efficiency of these innovations has inevitably pushed the health sector into a digital transformation process to optimize the technologies and methodologies used to optimize healthcare management systems. In this transformation, the Internet of Things (IoT) technology plays an important role, which enables many devices to connect and work together. IoT allows systems to work together using sensors, connection methods, internet protocols, databases, cloud computing, and analytic as infrastructure. In this respect, it is necessary to establish the necessary technical infrastructure and a suitable environment for the development of smart hospitals. This study points out the optimization factors, challenges, available technologies, and opportunities, as well as the system architecture that come about by employing IoT technology in smart hospital environments. In order to do that, the required technical infrastructure is divided into five layers and the system infrastructure, constraints, and methods needed in each layer are specified, which also includes the smart hospital’s dimensions and extent of intelligent computing and real-time big data analytic. As a result of the study, the deficiencies that may arise in each layer for the smart hospital design model and the factors that should be taken into account to eliminate them are explained. It is expected to provide a road map to managers, system developers, and researchers interested in optimization of the design of the smart hospital system.

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A new data clustering strategy for enhancing mutual privacy in healthcare IoT systems

Cited by 71 publications

References 20 publications

Breast cancer, screening and diagnostic tools: All you need to know

Breast cancer, screening and diagnostic tools: All you need to know

Current Research Trends in IoT Security: A Systematic Mapping Study

Analysis of factors affecting IoT-based smart hospital design

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