[PDF][PDF] Exploring Machine Learning Intrusion Detection: Addressing Security and Privacy Challenges in IoT-A Comprehensive Review
G Krishnamoorthy, SMK Sistla - Journal of Knowledge Learning …, 2023 - researchgate.net
With billions of IoT devices in operation globally, vast amounts of data are generated, posing
significant security challenges throughout the data lifecycle. Machine learning (ML) offers a …
significant security challenges throughout the data lifecycle. Machine learning (ML) offers a …
[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review
A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and cyber …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …
smart devices. While these innovations offer unprecedented opportunities, they also …
Internet of things (IoT) security dataset evolution: Challenges and future directions
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
Deep learning in IoT intrusion detection
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …
and sensors from across the globe are interconnected in a global grid, and distributed …
Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection
A Odeh, A Abu Taleb - Applied Sciences, 2023 - mdpi.com
Cybersecurity finds widespread applications across diverse domains, encompassing
intelligent industrial systems, residential environments, personal gadgets, and automobiles …
intelligent industrial systems, residential environments, personal gadgets, and automobiles …
Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …