[HTML][HTML] Fog-assisted deep-learning-empowered intrusion detection system for RPL-based resource-constrained smart industries

D Attique, H Wang, P Wang - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a prominent and advanced network communication
technology that has familiarized the world with smart industries. The conveniently acquirable …

[HTML][HTML] ROAST-IoT: a novel range-optimized attention convolutional scattered technique for intrusion detection in IoT networks

A Mahalingam, G Perumal, G Subburayalu, M Albathan… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has significantly benefited several businesses, but because of
the volume and complexity of IoT systems, there are also new security issues. Intrusion …

[HTML][HTML] An innovative GPT-based open-source intelligence using historical cyber incident reports

F Sufi - Natural Language Processing Journal, 2024 - Elsevier
In contemporary discourse, the pervasive influences of Generative Pre-Trained (GPT) and
Large Language Models (LLM) are evident, showcasing diverse applications. GPT-based …

[HTML][HTML] A Comprehensive Survey of Cybersecurity Threats, Attacks, and Effective Countermeasures in Industrial Internet of Things

AM Alnajim, S Habib, M Islam, SM Thwin, F Alotaibi - Technologies, 2023 - mdpi.com
The Industrial Internet of Things (IIoT) ecosystem faces increased risks and vulnerabilities
due to adopting Industry 4.0 standards. Integrating data from various places and converging …

[PDF][PDF] Signature-Based Intrusion Detection System in Wireless 6G IoT Networks.

M Farooq, MH Khan - Journal on Internet of Things, 2022 - researchgate.net
An “Intrusion Detection System”(IDS) is a security measure designed to perceive and be
aware of unauthorized access or malicious activity on a computer system or network …

[HTML][HTML] A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization

Z Wang, H Chen, S Yang, X Luo, D Li, J Wang - PeerJ Computer Science, 2023 - peerj.com
Intrusion detection ensures that IoT can protect itself against malicious intrusions in
extensive and intricate network traffic data. In recent years, deep learning has been …

[HTML][HTML] A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems

M Samantaray, RC Barik, AK Biswal - Decision Analytics Journal, 2024 - Elsevier
The rapid increase in online risks is a reflection of the exponential growth of Internet of
Things (IoT) networks. Researchers have proposed numerous intrusion detection …

[PDF][PDF] Comprehensive Survey on AI-Based Technologies for Enhancing IoT Privacy and Security: Trends, Challenges, and Solutions

OEL Castro, X Deng, JH Park - HUMAN-CENTRIC COMPUTING AND …, 2023 - hcisj.com
Abstract The Internet of Things (IoT) is revolutionizing modern technology by connecting
numerous devices and applications. However, its lack of standardization has led to security …

[HTML][HTML] An Effective Network Intrusion Detection System Using Recursive Feature Elimination Technique

NS Yadav, VP Sharma, DSD Reddy, S Mishra - Engineering Proceedings, 2023 - mdpi.com
Machine learning is an emerging area in research. Nowadays, researchers are utilizing
machine learning across all domains to find optimal solutions. Machine learning facilitates …

Type classification and identification of IoT devices by using traffic characteristics

R Du, S Li - Wireless Networks, 2024 - Springer
Abstract Nowadays, the Internet of Things is booming and more and more IoT devices are
connected to the Internet. However, due to design and configuration vulnerabilities, as well …