[HTML][HTML] Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
Abstract The application of Machine Learning (ML) techniques to the well-known intrusion
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …
increase of network data and placed a high computation complexity across various …
[HTML][HTML] Enhancing smart farming through the applications of Agriculture 4.0 technologies
Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and
moves toward a smarter, more efficient, environmentally responsible agriculture sector …
moves toward a smarter, more efficient, environmentally responsible agriculture sector …
FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things
In this paper, we propose a federated learning-based intrusion detection system, named
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity
The data is exposed to many attacks during communication in the network environment. It is
becoming increasingly essential to identify intrusions into network communications …
becoming increasingly essential to identify intrusions into network communications …
XAI for cybersecurity: state of the art, challenges, open issues and future directions
In the past few years, artificial intelligence (AI) techniques have been implemented in almost
all verticals of human life. However, the results generated from the AI models often lag …
all verticals of human life. However, the results generated from the AI models often lag …
Security in IoT-enabled smart agriculture: Architecture, security solutions and challenges
Agricultural industry is one of the most vital industries that has a major contribution to the
economy due to its share in the Gross Domestic Product (GDP) and as a source of …
economy due to its share in the Gross Domestic Product (GDP) and as a source of …
Smart and sustainable agriculture: Fundamentals, enabling technologies, and future directions
Y Jararweh, S Fatima, M Jarrah, S AlZu'bi - Computers and Electrical …, 2023 - Elsevier
Agriculture is an important sector that plays a key role in the economic growth of countries.
Innovative agricultural advancements has undoubtedly supported the expansion of the …
Innovative agricultural advancements has undoubtedly supported the expansion of the …
Implementation of intrusion detection model for DDoS attacks in Lightweight IoT Networks
SA Khanday, H Fatima, N Rakesh - Expert Systems with Applications, 2023 - Elsevier
Protecting IoT networks and infrastructure is one of the top priorities in today's computing
industry because of the unnerving and exponential development in cyberattacks and …
industry because of the unnerving and exponential development in cyberattacks and …
Open innovation in agribusiness: Barriers and challenges in the transition to agriculture 4.0
FT Silva, IC Baierle, RGF Correa, MA Sellitto… - Sustainability, 2023 - mdpi.com
Industry 4.0 digital technologies in agribusiness will enable traditional farming systems to
migrate to Agriculture 4.0. Open innovation emerges as an enabler for implementing these …
migrate to Agriculture 4.0. Open innovation emerges as an enabler for implementing these …