Deep learning for the security of software-defined networks: a review
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …
optimization of them are becoming increasingly challenging tasks for network administrators …
Secure architecture for Industrial Edge of Things (IEoT): A hierarchical perspective
P Li, J Xia, Q Wang, Y Zhang, M Wu - Computer Networks, 2024 - Elsevier
Abstract The Industrial Internet of Things (IIoT) is an application of the IoT specifically
tailored for industrial manufacturing, characterized by its heightened requirements for …
tailored for industrial manufacturing, characterized by its heightened requirements for …
A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
NM Yungaicela-Naula, C Vargas-Rosales… - Journal of network and …, 2022 - Elsevier
Abstract Distributed Denial-of-Service (DDoS) attacks are difficult to mitigate with existing
defense tools. Fortunately, it has been demonstrated that Software-Defined Networking …
defense tools. Fortunately, it has been demonstrated that Software-Defined Networking …
A hybrid machine learning approach for detecting unprecedented DDoS attacks
Abstract Service availability plays a vital role on computer networks, against which
Distributed Denial of Service (DDoS) attacks are an increasingly growing threat each year …
Distributed Denial of Service (DDoS) attacks are an increasingly growing threat each year …
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 …
last years has created vast and critical vulnerabilities in networks that cybercriminals have …
SmartDefense: A distributed deep defense against DDoS attacks with edge computing
The growing number of IoT edge devices have inflicted a change in the cyber-attack space.
The DDoS attacks, in particular, have significantly increased in magnitude and intensity. Of …
The DDoS attacks, in particular, have significantly increased in magnitude and intensity. Of …
ReLFA: Resist link flooding attacks via renyi entropy and deep reinforcement learning in SDN-IoT
J Wang, Y Liu, W Zhang, X Yan, N Zhou… - China …, 2022 - ieeexplore.ieee.org
Link flooding attack (LFA) is a fresh distributed denial of service attack (DDoS). Attackers can
cut off the critical links, making the services in the target area unavailable. LFA manipulates …
cut off the critical links, making the services in the target area unavailable. LFA manipulates …
Federated Learning-Based Solution for DDoS Detection in SDN
One major threat to Software Defined Network (SDN) environments and other computing
systems is Distributed Denial of Service (DDoS) attacks. For the longest time, conventional …
systems is Distributed Denial of Service (DDoS) attacks. For the longest time, conventional …
SatShield: In-Network Mitigation of Link Flooding Attacks for LEO Constellation Networks
Low Earth Orbit (LEO) satellite networks provide global connectivity but are vulnerable to
security threats such as link flooding attacks. To defend against such attacks, stateof-the-art …
security threats such as link flooding attacks. To defend against such attacks, stateof-the-art …
Defending Against Link-Flooding Attacks With Adversary Interest Prediction and Grouped Online Load Balancing
A Link Flooding Attack (LFA) is a type of link-aimed Distributed Denial of Service (DDoS)
attack that can overwhelm the Internet critical links to cut off connections with lots of low-rate …
attack that can overwhelm the Internet critical links to cut off connections with lots of low-rate …