Structural health monitoring of civil engineering structures by using the internet of things: A review
Structural health monitoring (SHM) and damage assessment of civil engineering
infrastructure are complex tasks. Structural health and strength of structures are influenced …
infrastructure are complex tasks. Structural health and strength of structures are influenced …
Recent security trends in internet of things: A comprehensive survey
The Internet of Things (IoT) aims to transform everyday physical objects into an
interconnected ecosystem with digital data accessible anywhere and anytime.“Things” in IoT …
interconnected ecosystem with digital data accessible anywhere and anytime.“Things” in IoT …
Digitainability—Digital competences post-COVID-19 for a sustainable society
The digitalization of societies, accelerated by the COVID-19 pandemic, is an unstoppable
process. This paper seeks to answer the question: what post-COVID-19 digital competences …
process. This paper seeks to answer the question: what post-COVID-19 digital competences …
Continual usage intention of platform-based governance services: A study from an emerging economy
P Upadhyay, A Kumar, YK Dwivedi… - Government Information …, 2022 - Elsevier
Several emerging economies have embarked on a path of digitization to provide lean
governance through platform-based applications. Platforms and ecosystems can play vital …
governance through platform-based applications. Platforms and ecosystems can play vital …
Digital transformation of cyber crime for chip-enabled hacking
The heterogeneous digital arena emerged as the open depiction for malicious activities, and
cyber criminals and terrorists are targeting the cyber depiction for controlling its operation. In …
cyber criminals and terrorists are targeting the cyber depiction for controlling its operation. In …
Machine learning based detection of cyber crime hub analysis using twitter data
Online Social Network Platform is the hub of criminal activities. Among them twitter is the
most popular one containing millions of media contents and thus can be used for crime …
most popular one containing millions of media contents and thus can be used for crime …
Combined federated and split learning in edge computing for ubiquitous intelligence in internet of things: State-of-the-art and future directions
Q Duan, S Hu, R Deng, Z Lu - Sensors, 2022 - mdpi.com
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …
FGMD: A robust detector against adversarial attacks in the IoT network
H Jiang, J Lin, H Kang - Future Generation Computer Systems, 2022 - Elsevier
Since network intrusion detectors for the Internet of Things (IoT) increasingly rely on
machine learning models, attacks against these detectors are also escalating. Machine …
machine learning models, attacks against these detectors are also escalating. Machine …
[HTML][HTML] IoT security challenges: cloud and blockchain, postquantum cryptography, and evolutionary techniques
Internet of Things connects the physical and cybernetic world. As such, security issues of IoT
devices are especially damaging and need to be addressed. In this treatise, we overview …
devices are especially damaging and need to be addressed. In this treatise, we overview …
Machine learning and the Internet of Things security: Solutions and open challenges
Abstract Internet of Things (IoT) is a pervasively-used technology for the last few years. IoT
technologies are also responsible for intensifying various everyday smart applications …
technologies are also responsible for intensifying various everyday smart applications …