Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions
Many security solutions have been proposed in the past to protect Internet architecture from
a diversity of malware. However, the security of the Internet and its applications is still an …
a diversity of malware. However, the security of the Internet and its applications is still an …
Understanding security requirements and challenges in Internet of Things (IoT): A review
Internet of things (IoT) is realized by the idea of free flow of information amongst various low‐
power embedded devices that use the Internet to communicate with one another. It is …
power embedded devices that use the Internet to communicate with one another. It is …
Near real-time security system applied to SDN environments in IoT networks using convolutional neural network
Abstract The Internet of Things (IoT) paradigm brings new and promising possibilities for
services and products. The heterogeneity of IoT devices highlights the inefficiency of …
services and products. The heterogeneity of IoT devices highlights the inefficiency of …
ML-DDoS: A blockchain-based multilevel DDoS mitigation mechanism for IoT environments
RF Hayat, S Aurangzeb, M Aleem… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attacks as well as botnet-based attacks are among the
most important security vulnerabilities in Internet of Things (IoT) environments. Most of the …
most important security vulnerabilities in Internet of Things (IoT) environments. Most of the …
A time-efficient approach toward DDoS attack detection in IoT network using SDN
As the usability of Internet of Things (IoT) devices increases, the security threats and
vulnerabilities associated with these resource-constrained IoT devices also rise. One of the …
vulnerabilities associated with these resource-constrained IoT devices also rise. One of the …
[HTML][HTML] Security and privacy issues in software-defined networking (SDN): A systematic literature review
Software-defined network (SDNs) have fundamentally changed network infrastructure by
decoupling the data plane and the control plane. This architectural shift rejuvenates the …
decoupling the data plane and the control plane. This architectural shift rejuvenates the …
Collaborative prediction and detection of DDoS attacks in edge computing: A deep learning-based approach with distributed SDN
Edge computing (EC) has greatly facilitated the deployment of networked services with fast
responses and low bandwidth, by deploying computing and storage at the network edge …
responses and low bandwidth, by deploying computing and storage at the network edge …
Software-defined networking-based DDoS defense mechanisms
Distributed Denial of Service attack (DDoS) is recognized to be one of the most catastrophic
attacks against various digital communication entities. Software-defined networking (SDN) is …
attacks against various digital communication entities. Software-defined networking (SDN) is …
MF-Adaboost: LDoS attack detection based on multi-features and improved Adaboost
D Tang, L Tang, R Dai, J Chen, X Li… - Future Generation …, 2020 - Elsevier
A low-rate denial of service (LDoS) attack is a precise network attack that aims at reducing
the quality of the network service. Many networks do not have an effective mechanism for …
the quality of the network service. Many networks do not have an effective mechanism for …
[HTML][HTML] A DDoS attack mitigation scheme in ISP networks using machine learning based on SDN
Keeping Internet users protected from cyberattacks and other threats is one of the most
prominent security challenges for network operators nowadays. Among other critical threats …
prominent security challenges for network operators nowadays. Among other critical threats …