Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …
revolutionized the traditional healthcare system into a smart healthcare system by using …
Survey of Machine Learning based intrusion detection methods for Internet of Medical Things
Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
enabling physiological data collection using sensors, which are transmitted to remote …
enabling physiological data collection using sensors, which are transmitted to remote …
Security and privacy in IoT using machine learning and blockchain: Threats and countermeasures
Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
A comprehensive review on smart health care: applications, paradigms, and challenges with case studies
S Saba Raoof, MAS Durai - Contrast Media & Molecular …, 2022 - Wiley Online Library
Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …
figuring out their way over the modern contemporary world through integrating various …
BlockFaaS: Blockchain-enabled serverless computing framework for AI-driven IoT healthcare applications
With the development of new sensor technologies, Internet of Things (IoT)-based healthcare
applications have gained momentum in recent years. However, IoT devices have limited …
applications have gained momentum in recent years. However, IoT devices have limited …
The comparison of cybersecurity datasets
A Alshaibi, M Al-Ani, A Al-Azzawi, A Konev… - Data, 2022 - mdpi.com
Almost all industrial internet of things (IIoT) attacks happen at the data transmission layer
according to a majority of the sources. In IIoT, different machine learning (ML) and deep …
according to a majority of the sources. In IIoT, different machine learning (ML) and deep …
Beyond smart homes: An in-depth analysis of smart aging care system security
Y Yamout, TS Yeasar, S Iqbal, M Zulkernine - ACM Computing Surveys, 2023 - dl.acm.org
The upward trend in the percentage of the population older than 65 has made smart aging
more relevant than ever before. Growing old in a traditional assisted living facility can take a …
more relevant than ever before. Growing old in a traditional assisted living facility can take a …
[PDF][PDF] Drinking chai with your (AI) programming partner: A design fiction about generative AI for software engineering
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for
Software Engineering Page 1 Drinking Chai with Your (AI) Programming Partner: A Design …
Software Engineering Page 1 Drinking Chai with Your (AI) Programming Partner: A Design …
A novel deep learning model to secure internet of things in healthcare
Smart and efficient application of DL algorithms in IoT devices can improve operational
efficiency in healthcare, including tracking, monitoring, controlling, and optimization. In this …
efficiency in healthcare, including tracking, monitoring, controlling, and optimization. In this …