AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges
B Bala, S Behal - Computer science review, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …
devastating and challenging cyber-attacks. The number of IoT users is growing …
Iot traffic-based DDoS attacks detection mechanisms: A comprehensive review
Abstract The Internet of Things (IoT) has emerged as an inevitable part of human life, that
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …
Survey and classification of Dos and DDoS attack detection and validation approaches for IoT environments
Abstract The Internet of Things (IoT) has emerged over the past ten years as the newest
technology trend that is luring researchers and developers from every sector of industry and …
technology trend that is luring researchers and developers from every sector of industry and …
A survey on machine learning based detection on DDoS attacks for IoT systems
K Wehbi, L Hong, T Al-salah, AA Bhutta - 2019 SoutheastCon, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is transforming the way we live today, improving the quality of living
standard and growing the world economy by having smart devices around us making …
standard and growing the world economy by having smart devices around us making …
Transport and application layer DDoS attacks detection to IoT devices by using machine learning and deep learning models
JG Almaraz-Rivera, JA Perez-Diaz… - Sensors, 2022 - mdpi.com
From smart homes to industrial environments, the IoT is an ally to easing daily activities,
where some of them are critical. More and more devices are connected to and through the …
where some of them are critical. More and more devices are connected to and through the …
Explainable AI-based DDOS attack identification method for IoT networks
The modern digitized world is mainly dependent on online services. The availability of
online systems continues to be seriously challenged by distributed denial of service (DDoS) …
online systems continues to be seriously challenged by distributed denial of service (DDoS) …
DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
DDoS Attack Detection in IoT-Based Networks Using Machine Learning Models: A Survey and Research Directions
With the emergence of technology, the usage of IoT (Internet of Things) devices is said to be
increasing in people's lives. Such devices can benefit the average individual, who does not …
increasing in people's lives. Such devices can benefit the average individual, who does not …
Machine learning-based dynamic attribute selection technique for ddos attack classification in iot networks
The exponential growth of the Internet of Things (IoT) has led to the rapid expansion of
interconnected systems, which has also increased the vulnerability of IoT devices to security …
interconnected systems, which has also increased the vulnerability of IoT devices to security …
Feature engineering and machine learning framework for DDoS attack detection in the standardized internet of things
Over the past decade, there has been huge rise in the number of Internet of Things (IoT)
devices and networks often characterized by resource constraints on energy, memory …
devices and networks often characterized by resource constraints on energy, memory …