[HTML][HTML] 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 …
[HTML][HTML] 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 …
DDoS attacks detection using machine learning and deep learning techniques: Analysis and comparison
The security of the internet is seriously threatened by a distributed denial of service (DDoS)
attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users …
attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users …
[HTML][HTML] Efficient intelligent intrusion detection system for heterogeneous internet of things (HetIoT)
Moving towards a more digital and intelligent world equipped with internet-of-thing (IoT)
devices creates many security issues. A distributed denial of service (DDoS) attack is one of …
devices creates many security issues. A distributed denial of service (DDoS) attack is one of …
[HTML][HTML] A DDoS detection method based on feature engineering and machine learning in software-defined networks
Z Liu, Y Wang, F Feng, Y Liu, Z Li, Y Shan - Sensors, 2023 - mdpi.com
Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …
[HTML][HTML] Deep learning based hybrid intrusion detection systems to protect satellite networks
Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …
low latency, and low energy consumption, as well as low exposure to physical threats and …
AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges
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 …
SDN and application layer DDoS attacks detection in IoT devices by attention‐based Bi‐LSTM‐CNN
Abstract The Internet of Things (IoT) is connecting more devices every day. Security is critical
to ensure that the devices operate in a trusted environment. The lack of proper IoT security …
to ensure that the devices operate in a trusted environment. The lack of proper IoT security …
[HTML][HTML] High-Speed Network DDoS Attack Detection: A Survey
Having a large number of device connections provides attackers with multiple ways to attack
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …
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 …