Fuzzy Observation of DDoS Attack
DDoS attacks are able to block Web servers. Such attacks could be started from anywhere in the network. This chapter presents the possibility of using Ordered Fuzzy Numbers (OFNs) for observation of a DDoS attack. The proposed algorithm could be implemented on routers and predict the moment of the attack.
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Classification of DDoS attack traffic on SDN network environment using deep learning
Distributed Denial of Service (DDoS) attack is a major threat to the Internet of Things (IoT), Software Defined Networks (SDN), and Cloud Computing Networks.
Urikhimbam Boby Clinton +2 more
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A Data Enhancement Algorithm for DDoS Attacks Using IoT. [PDF]
Lv H, Du Y, Zhou X, Ni W, Ma X.
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Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT
Machine learning-based Distributed Denial of Service (DDoS) attack detection systems have proven effective in detecting and preventing DDoD attacks in Internet of Things (IoT) systems.
Yonas Kibret Beshah +2 more
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Enhancing Mitigation of Volumetric DDoS Attacks: A Hybrid FPGA/Software Filtering Datapath. [PDF]
Salopek D, Mikuc M.
europepmc +1 more source
Prediction of DDoS attacks in agriculture 4.0 with the help of prairie dog optimization algorithm with IDSNet. [PDF]
Vatambeti R +5 more
europepmc +1 more source
Enhancing IoT Network Security: Unveiling the Power of Self-Supervised Learning against DDoS Attacks. [PDF]
Almaraz-Rivera JG +2 more
europepmc +1 more source
Research on low-rate DDoS attack of SDN network in cloud environment
Aiming at the problems of low-rate DDoS attack detection accuracy in cloud SDN network and the lack of unified framework for data plane and control plane low-rate DDoS attack detection and defense,a unified framework for low-rate DDoS attack detection ...
Xingshu CHEN +4 more
doaj +2 more sources
AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks. [PDF]
Ali S +6 more
europepmc +1 more source
DDoS family: A novel perspective for massive types of DDoS attacks
Distributed Denial of Service (DDoS) defense is a profound research problem. In recent years, adversaries tend to complicate their attack strategies by crafting vast DDoS variants. On the one hand, this trend exacerbates both extremes of classification granularity (i.e., binary and attack level) in existing machine learning methods.
Ziming Zhao 0008 +7 more
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