Security issues and challenges in cloud of things-based applications for industrial automation
Due to the COVID-19 outbreak, industries have gained a thrust on contactless processing for
computing technologies and industrial automation. Cloud of Things (CoT) is one of the …
computing technologies and industrial automation. Cloud of Things (CoT) is one of the …
A novel low-latency and energy-efficient task scheduling framework for internet of medical things in an edge fog cloud system
In healthcare, there are rapid emergency response systems that necessitate real-time
actions where speed and efficiency are critical; this may suffer as a result of cloud latency …
actions where speed and efficiency are critical; this may suffer as a result of cloud latency …
The development of privacy protection standards for smart home
D Liu, C Wu, L Yang, X Zhao… - … and Mobile Computing, 2022 - Wiley Online Library
With the rapid development of network technology, society has entered the Internet of Things
(IoT) era. Enriching IoT devices enable smart home privacy information to be easily obtained …
(IoT) era. Enriching IoT devices enable smart home privacy information to be easily obtained …
Monitoring and control framework for iot, implemented for smart agriculture
To mitigate the effects of the lack of IoT standardization, including scalability, reusability, and
interoperability, we propose a domain-agnostic monitoring and control framework (MCF) for …
interoperability, we propose a domain-agnostic monitoring and control framework (MCF) for …
IdenMultiSig: Identity-based decentralized multi-signature in internet of things
Most devices in the Internet of Things (IoT) work on unsafe networks and are constrained by
limited computing, power, and storage resources. Since the existing centralized signature …
limited computing, power, and storage resources. Since the existing centralized signature …
Decision tree with Pearson correlation-based recursive feature elimination model for attack detection in IoT environment
A Padmashree, M Krishnamoorthi - Information Technology and Control, 2022 - itc.ktu.lt
The industrial revolution in recent years made massive uses of Internet of Things (IoT)
applications like smart cities' growth. This leads to automation in real-time applications to …
applications like smart cities' growth. This leads to automation in real-time applications to …
Smart border surveillance system based on deep learning methods
Any country has to protect its borders in order to maintain peace and ensure the safety of the
people. To control illegal movement of beings and terrorist attacks, it becomes vital to use …
people. To control illegal movement of beings and terrorist attacks, it becomes vital to use …
Cloud based real time soil moisture content monitoring using IoT and unmanned aerial vehicles
Drones and other unmanned aerial vehicles (UAVs) used for agriculture have recently
emerged as a key tool for ground sensing in" smart farming." For precision agriculture's …
emerged as a key tool for ground sensing in" smart farming." For precision agriculture's …
Data Management and Decision-Making Process Using Machine Learning Approach for Enterprises
TA Diame, SA Ettyem, R Alubady, M Adile… - Full Length …, 2023 - americaspg.com
Abstract Currently, Machine Learning (ML) seems very attractive since it may speed up
business functions in enterprises, lower costs for supplying goods and services, and …
business functions in enterprises, lower costs for supplying goods and services, and …
Green grant-free power allocation for ultra-dense Internet of Things: A mean-field perspective
Grant-free access, in which each Internet-of-Things (IoT) device delivers its packets through
a randomly selected resource without spending time on handshaking procedures, is a …
a randomly selected resource without spending time on handshaking procedures, is a …