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An end-to-end learning approach for enhancing intrusion detection in Industrial-Internet of Things
Abstract The Industrial-Internet of Things (I-IoT) stands out as one of the most dynamically
evolving subfields within the expansive realm of the Internet of Things (IoT). Its exponential …
evolving subfields within the expansive realm of the Internet of Things (IoT). Its exponential …
A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things
While the proliferation of the Internet of Things (IoT) has revolutionized several industries, it
has also created severe data security concerns. The security of these network devices and …
has also created severe data security concerns. The security of these network devices and …
[HTML][HTML] A survey on intrusion detection system in IoT networks
MM Rahman, S Al Shakil, MR Mustakim - Cyber Security and Applications, 2025 - Elsevier
Abstract As the Internet of Things (IoT) expands, the security of IoT networks has becoming
more critical. Intrusion Detection Systems (IDS) are essential for protecting these networks …
more critical. Intrusion Detection Systems (IDS) are essential for protecting these networks …
[HTML][HTML] Hybridization of Learning Techniques and Quantum Mechanism for IIoT Security: Applications, Challenges, and Prospects
This article describes our point of view regarding the security capabilities of classical
learning algorithms (CLAs) and quantum mechanisms (QM) in the industrial Internet of …
learning algorithms (CLAs) and quantum mechanisms (QM) in the industrial Internet of …
An enhanced internet of medical things data communication based on blockchain and cryptography for smart healthcare applications
This paper proposes a novel data communication model for the Internet of Medical Things
(IoMT) powered smart healthcare applications based on blockchain and cryptography. The …
(IoMT) powered smart healthcare applications based on blockchain and cryptography. The …
Meta-IDS: meta-learning based smart intrusion detection system for internet of medical things (IoMT) network
The Internet of Medical Things (IoMT) plays a crucial role in advancing smart healthcare by
facilitating the real-time collection and processing of medical data. These interconnected …
facilitating the real-time collection and processing of medical data. These interconnected …
Federated deep learning for intrusion detection in consumer-centric internet of things
Consumer-centric Internet of Things (CIoT) will play a pivotal role in the fifth industrial
revolution (Industry 5.0) but it exhibits vulnerabilities that can render it susceptible to various …
revolution (Industry 5.0) but it exhibits vulnerabilities that can render it susceptible to various …
[HTML][HTML] IoT intrusion detection system based on machine learning
B Xu, L Sun, X Mao, R Ding, C Liu - Electronics, 2023 - mdpi.com
With the rapid development of the Internet of Things (IoT), the number of IoT devices is
increasing dramatically, making it increasingly important to identify intrusions on these …
increasing dramatically, making it increasingly important to identify intrusions on these …
A novel intrusion detection system for internet of things devices and data
A Kaushik, H Al-Raweshidy - Wireless Networks, 2024 - Springer
As we enter the new age of the Internet of Things (IoT) and wearable gadgets, sensors, and
embedded devices are extensively used for data aggregation and its transmission. The …
embedded devices are extensively used for data aggregation and its transmission. The …
Ensuring intrusion detection for IoT services through an improved CNN
Abstract Internet of Things (IoT) devices are challenging to manage information security due
to some factors such as processing capability, exponential growth in homes, and their low …
to some factors such as processing capability, exponential growth in homes, and their low …