Recent advancements and challenges of AIoT application in smart agriculture: A review
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …
internet of things (IoT) are the most effective paradigms that have played a vital role in …
Intrusion detection in the automotive domain: A comprehensive review
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …
connectivity, and automation—and at a breakneck pace. Such advancements come with …
Reviewing and integrating aec practices into industry 6.0: Strategies for smart and sustainable future-built environments
A Almusaed, I Yitmen, A Almssad - Sustainability, 2023 - mdpi.com
This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0
into the design and construction of intelligent, environmentally friendly, and long-lasting …
into the design and construction of intelligent, environmentally friendly, and long-lasting …
Hda-ids: A hybrid dos attacks intrusion detection system for iot by using semi-supervised cl-gan
In recent years, the application of the internet of things (IoT) in areas such as intelligent
transportation, smart cities, and the industrial internet has become increasingly widespread …
transportation, smart cities, and the industrial internet has become increasingly widespread …
Stochastic gradient descent classifier-based lightweight intrusion detection systems using the efficient feature subsets of datasets
J Azimjonov, T Kim - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Things (IoT) has become an essential part of our daily lives.
However, with the increasing use of IoT, the number of botnet attacks targeting resource …
However, with the increasing use of IoT, the number of botnet attacks targeting resource …
[HTML][HTML] can-train-and-test: A Curated CAN Dataset for Automotive Intrusion Detection
When it comes to in-vehicle networks (IVNs), the controller area network (CAN) bus
dominates the market; automobiles manufactured and sold worldwide depend on the CAN …
dominates the market; automobiles manufactured and sold worldwide depend on the CAN …
DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning
The controller area network (CAN) protocol is a critical communication mechanism in
vehicular systems. However, the widespread adoption of this protocol has introduced …
vehicular systems. However, the widespread adoption of this protocol has introduced …
TSGS: Two-stage security game solution based on deep reinforcement learning for Internet of Things
X Feng, H Xia, S Xu, L Xu, R Zhang - Expert Systems with Applications, 2023 - Elsevier
The lack of effective defense resource allocation strategies and reliable multi-agent
collaboration mechanisms lead to the low stability of Deep Reinforcement Learning (DRL) …
collaboration mechanisms lead to the low stability of Deep Reinforcement Learning (DRL) …
A novel hybrid quantum-classical framework for an in-vehicle controller area network intrusion detection
In-vehicle controller area network (CAN) is susceptible to various cyberattacks due to its
broadcast-based communication nature. An attacker can inject false messages to a vehicle's …
broadcast-based communication nature. An attacker can inject false messages to a vehicle's …
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
M Almehdhar, A Albaseer, MA Khan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …