The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Single point of failure and node attack tend to cause instability in the centralized Internet of
Things (IoT). Combined with blockchain technology, the deficiency of traditional IoT …

In recent times the cloud-related Internet of Medical Things (IoMT) solution offers numerous
healthcare services to wearable sensor gadgets for patients. Particularly, cost-efficient …

The scheduling of appropriate resources for cloud workloads is a difficult task, as it depends
on the quality of service needs of cloud applications. Due to their limited data storage and …

With increasing challenges and research in edge‐assisted IoT models, an improved
resource scheduling approach exploiting deep learning concepts is proposed in this …

Most of the existing task offloading methods in edge computing environments do not fully
utilize the processing capabilities of cloud servers and have high computational complexity …

Deep learning has emerged as a powerful technique for processing and extracting insights
from complex data. However, the resource-constrained nature of edge devices poses …

Integrated CloudIoT is an emerging field of study that integrates the Cloud and the Internet of
Things (IoT) to make machines smarter and deal with real-world objects in a distributed …

Currently, applications accessing remote computing resources through cloud data centers is
the main mode of operation, but this mode of operation greatly increases communication …

To address the concerns about security and privacy in cloud-based data storage, this study
proposes a unique approach to secure cloud-based data governance using hybrid machine …