[HTML][HTML] 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 …
A DDoS attack mitigation framework for IoT networks using fog computing
The advent of 5G which strives to connect more devices with high speed and low latencies
has aided the growth IoT network. Despite the benefits of IoT, its applications in several …
has aided the growth IoT network. Despite the benefits of IoT, its applications in several …
Multi‐objective‐based feature selection for DDoS attack detection in IoT networks
In this study, the authors propose a multi‐objective optimisation‐based feature selection
(FS) method for the detection of distributed denial of service (DDoS) attacks in an internet of …
(FS) method for the detection of distributed denial of service (DDoS) attacks in an internet of …
Hybrid feature selection for efficient detection of DDoS attacks in IoT
L Hong, K Wehbi, TH Alsalah - Proceedings of the 2022 6th International …, 2022 - dl.acm.org
The increasing Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) is
leading to the need for an efficient detection approach. Although much research has been …
leading to the need for an efficient detection approach. Although much research has been …
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 …
[HTML][HTML] Enhancing DDoS attack detection in IoT using PCA
Abstract Internet of Things (IoT) security and reliability rely on the capacity to identify
distributed denial-of-service (DDoS) assaults in IoT networks. This research presents a …
distributed denial-of-service (DDoS) assaults in IoT networks. This research presents a …
Flowguard: An intelligent edge defense mechanism against IoT DDoS attacks
Internet-of-Things (IoT) devices are getting more and more popular in recent years and IoT
networks play an important role in the industry as well as people's activities. On the one …
networks play an important role in the industry as well as people's activities. On the one …
EIoT-DDoS: embedded classification approach for IoT traffic-based DDoS attacks
Abstract The Internet of Things (IoT) has shown incredible adaptability in recent years and
has become an integral part of human life. The proliferation of IoT technology has made IoT …
has become an integral part of human life. The proliferation of IoT technology has made IoT …
Analysis of machine learning classifiers for early detection of DDoS attacks on IoT devices
Distributed denial-of-service attacks are still difficult to handle as per current scenarios. The
attack aim is a menace to network security and exhausting the target networks with …
attack aim is a menace to network security and exhausting the target networks with …
A Genetic Algorithm-and t-Test-Based System for DDoS Attack Detection in IoT Networks
MF Saiyed, I Al-Anbagi - IEEE Access, 2024 - ieeexplore.ieee.org
Internet and cloud-based technologies have facilitated the implementation of large-scale
Internet of Things (IoT) networks. However, these networks are susceptible to emerging …
Internet of Things (IoT) networks. However, these networks are susceptible to emerging …