A survey on federated learning for security and privacy in healthcare applications

KK Coelho, M Nogueira, AB Vieira, EF Silva… - Computer …, 2023 - Elsevier
Technological advances in smart devices and applications targeting the Internet of
Healthcare Things provide a perfect environment for using Machine Learning-based …

Dimensions of artificial intelligence techniques, blockchain, and cyber security in the Internet of medical things: Opportunities, challenges, and future directions

AH Ameen, MA Mohammed… - Journal of Intelligent …, 2023 - degruyter.com
The Internet of medical things (IoMT) is a modern technology that is increasingly being used
to provide good healthcare services. As IoMT devices are vulnerable to cyberattacks …

Blockchained Federated Learning for Internet of Things: A Comprehensive Survey

Y Jiang, B Ma, X Wang, G Yu, P Yu, Z Wang… - ACM Computing …, 2023 - dl.acm.org
The demand for intelligent industries and smart services based on big data is rising rapidly
with the increasing digitization and intelligence of the modern world. This survey …

Edge computing based secure health monitoring framework for electronic healthcare system

A Singh, K Chatterjee - Cluster Computing, 2023 - Springer
Abstract Nowadays, Smart Healthcare Systems (SHS) are frequently used by people for
personal healthcare observations using various smart devices. The SHS uses IoT …

A novel hermit crab optimization algorithm

J Guo, G Zhou, K Yan, B Shi, Y Di, Y Sato - Scientific Reports, 2023 - nature.com
High-dimensional optimization has numerous potential applications in both academia and
industry. It is a major challenge for optimization algorithms to generate very accurate …

Gauss-mapping black widow optimization with deep extreme learning machine for android malware classification model

G Aldehim, MA Arasi, M Khalid, SS Aljameel… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, the malware on the Android platform is found to be increasing. With the
prevalent use of code obfuscation technology, the precision of antivirus software and …

Medisecure: A blockchain-enabled ensemble learning approach for user-controlled single sign-on and privacy preservation in medical cyber-physical systems

JF Pimple, A Sharma, JK Mishra - International conference on the role of AI …, 2023 - Springer
The authentication of users and devices is essential to the security of cyber-physical systems
(CPS). But since various networks and devices are interconnected in CPS, they are …

An efficient audio watermarking scheme with scrambled medical images for secure medical internet of things systems

S Alshathri, EED Hemdan - Multimedia Tools and Applications, 2023 - Springer
In recent times, the security of communication channels between healthcare entities in
Medical Internet of Things (MIoT) systems becomes a significant issue to facilitate and …

Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications

A Akhtarshenas, MA Vahedifar, N Ayoobi… - arXiv preprint arXiv …, 2023 - arxiv.org
In the realm of machine learning (ML) systems featuring client-host connections, the
enhancement of privacy security can be effectively achieved through federated learning (FL) …

A blockchain-based framework for supervision of livelihood issues: Proof of concept with optimized consensus

J Xu, C Hua, Y Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Supervision of Livelihood Issues (SLI) refers to the supervision and participation of the
general public in government actions and public affairs, with a particular focus on issues …