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 …
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 …
A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges
Over the past few years, online social networks (OSNs) have become an inseparable part of
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
A lightweight model for DDoS attack detection using machine learning techniques
The study in this paper characterizes lightweight IoT networks as being established by
devices with few computer resources, such as reduced battery life, processing power …
devices with few computer resources, such as reduced battery life, processing power …
A novel DDoS detection and mitigation technique using hybrid machine learning model and redirect illegitimate traffic in SDN network
Abstract Software Defined Networking (SDN) is a paradigm shift in the network industry with
decoupling of control and data plane. This helps network engineers to control and manage …
decoupling of control and data plane. This helps network engineers to control and manage …
Edge-HetIoT defense against DDoS attack using learning techniques
The heterogeneous nature of the internet-of-thing (IoT) is gaining popularity and,
simultaneously, faces rising security issues. The distributed denial of service (DDoS) attack …
simultaneously, faces rising security issues. The distributed denial of service (DDoS) attack …
Leveraging blockchain and machine learning to counter DDoS attacks over IoT network
The paper presents an approach for detecting Distributed Denial of Service (DDoS) attacks
using machine learning and blockchain technology. With the increasing complexity and …
using machine learning and blockchain technology. With the increasing complexity and …
Machine Learning Techniques for Detecting DDOS Attacks
MM Saeed, HNR Mohammed… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
The development witnessed by the world of science and technology and the emergence of
the Internet, where cybersecurity has become one of the most important areas that are …
the Internet, where cybersecurity has become one of the most important areas that are …
Enhancing IoT Security Against DDoS Attacks through Federated Learning
The rapid proliferation of the Internet of Things (IoT) has ushered in transformative
connectivity between physical devices and the digital realm. Nonetheless, the escalating …
connectivity between physical devices and the digital realm. Nonetheless, the escalating …
An advanced approach for detection of distributed denial of service (DDoS) attacks using machine learning techniques
One of the most hazardous attacks in network security is the Distributed Denial of Service
(DDoS) attack. DDoS is endangering the internet because it halts the functionality of vital …
(DDoS) attack. DDoS is endangering the internet because it halts the functionality of vital …