MFGD3QN: Enhancing Edge Intelligence Defense against DDoS with Mean-Field Games and Dueling Double Deep Q-network

S Shen, C Cai, Y Shen, X Wu, W Ke… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Distributed Denial-of-Service (DDoS) attacks pose a serious threat to the stability and
security of edge intelligence devices. To solve this issue, we first describe the cost of edge …

Ddos attack real-time defense mechanism using deep Q-learning network

W Feng, Y Wu - International Journal of Performability Engineering, 2020 - ijpe-online.com
The system distributed denial of service (DDoS) contains high covert attack characteristics
and requires real-time defense. In order to solve such two problems for system DDoS, this …

IEEE P2668-compliant multi-layer IoT-DDoS defense system using deep reinforcement learning

Y Liu, KF Tsang, CK Wu, Y Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has been attracting people to its capability to deal with smart
applications. However, with the development of IoT, there are more attacks to threaten IoT …

DQ-MOTAG: deep reinforcement learning-based moving target defense against DDoS attacks

X Chai, Y Wang, C Yan, Y Zhao… - 2020 IEEE Fifth …, 2020 - ieeexplore.ieee.org
The rapid developments of mobile communication and wearable devices greatly improve
our daily life, while the massive entities and emerging services also make Cyber-Physical …

SDN/NFV-based framework for autonomous defense against slow-rate DDoS attacks by using reinforcement learning

NM Yungaicela-Naula, C Vargas-Rosales… - Future Generation …, 2023 - Elsevier
The unforeseen and skyrocketed shift in the number of connections to the Internet during the
last years has created vast and critical vulnerabilities in networks that cybercriminals have …

DDoS defense using MTD and SDN

J Steinberger, B Kuhnert, C Dietz, L Ball… - NOMS 2018-2018 …, 2018 - ieeexplore.ieee.org
Distributed large-scale cyber attacks targeting the availability of computing and network
resources still remains a serious threat. In order to limit the effects caused by those attacks …

Too expensive to attack: A joint defense framework to mitigate distributed attacks for the Internet of Things grid

J Li, X Liu, J Jin, S Yu - arXiv preprint arXiv:2104.00236, 2021 - arxiv.org
The distributed denial of service (DDoS) attack is detrimental to businesses and individuals
as we are heavily relying on the Internet. Due to remarkable profits, crackers favor DDoS as …

An SDN-enabled proactive defense framework for DDoS mitigation in IoT networks

Y Zhou, G Cheng, S Yu - IEEE Transactions on Information …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming truly ubiquitous in every domain of human lives, and
a large number of objects can be connected and enabled to communicate with cloud servers …

Ensemble of deep reinforcement learning with optimization model for DDoS attack detection and classification in cloud based software defined networks

KK Paidipati, C Kurangi, J Uthayakumar… - Multimedia Tools and …, 2024 - Springer
Abstract Distributed Denial of Service (DDoS) attacks pose a challenging threat to the
availability and performance of cloud-based Software-Defined Networks (SDNs). Detection …

[HTML][HTML] A multi-point collaborative DDoS defense mechanism for IIoT environment

H Huang, P Ye, M Hu, J Wu - Digital Communications and Networks, 2023 - Elsevier
Nowadays, a large number of intelligent devices involved in the Industrial Internet of Things
(IIoT) environment are posing unprecedented cybersecurity challenges. Due to the limited …