This paper proposes GoGDDoS, a multi-classifier for DDoS attacks. Concretely, we construct GoG traffic graph to clearly compress relationships between packets ...
This paper proposes GoGDDoS, a multi-classifier for DDoS attacks. Concretely, we construct GoG traffic graph to clearly compress relationships between packets ...
GoGDDoS: A Multi-classifier for DDoS Attacks. Using Graph Neural Networks ... GoGDDoS constructs GoG (Graph of Graph) traffic graph by merging the ...
GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks. Y. Li, Z. Zhou, R. Li, F. Shi, J. Guo, and Q. Liu. ISCC, page 1462-1467.
Effective DDoS Attack Detection Using Graph Neural Networks
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GraphDDoS, a GNN-based approach for detecting DDoS attacks using endpoint traffic graphs that outperforms the state-of-the-art DL-based approaches in terms ...
Nov 11, 2021 · The objective of this work is based on the exploration and choice of a set of data that represents DDoS attack events, on their treatment in a ...
Nov 17, 2023 · Network Flow Analytics: Multi-Class Classification of DDoS Attacks ... GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks.
GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks ... Graph Neural Network model to mine potential attack patterns from GoG traffic graph.
Temporal-Gated Graph Neural Network with Graph Sampling for Multi-step Attack ... GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks[C] ...
People also ask
What algorithm is used to detect DDoS attacks?
In Software-Defined Networking (SDN), machine learning algorithms like decision trees or neural networks are utilized for DDoS attack detection. These algorithms analyze network flow data and classify traffic as normal or malicious, enabling rapid response to mitigate attacks.
What are the three types of DOS and DDoS attacks?
DDoS Attack Type | Metric | Category |
Volumetric Attack | Bits per second (bps), Gigabits per second (Gbps), flood | Connectionless |
Protocol Attack | Packets per second (PPS) | Connection-based |
Application layer attack | Requests per second (RPS), low-rate | Connection-based |
How are different DDoS attacks detected using machine learning classification algorithms?
The DDoS attack is detected by considering the various SNMP parameters and classifying using machine learning technique like bagging, boosting and ensemble models.
What is the classification of DDoS?
All DDoS attacks can be divided into two main types: Bandwidth-consuming DDoS attack – a cybercriminal overloads communication channels, allocated bandwidth and network equipment by flooding them with a large number of packets.
Nov 11, 2021 · The objective of this work is based on the exploration and choice of a set of data that represents DDoS attack events, on their treatment in a ...
Missing: GoGDDoS: Graph