Cloud-based DDoS detection using hybrid feature selection with deep reinforcement learning (DRL)
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-18857-3
Abstract: The escalating size and complexity of Distributed Denial of Service (DDoS) attacks pose significant threats to the security and availability of cloud computing infrastructure. Traditional Intrusion Detection Systems (IDSs), which rely primarily on static or… read more here.
Keywords: detection; reinforcement learning; deep reinforcement; ddos detection ... See more keywords
Efficient DDoS Detection Based on K-FKNN in Software Defined Networks
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DOI: 10.1109/access.2019.2950945
Abstract: Software Defined Networking (SDN) centrally manages the network data layer to improve the programmability and flexibility of networks by the controller. Because of centralized control, SDN is vulnerable to Distributed Denial of Service (DDoS) attacks.… read more here.
Keywords: efficient ddos; ddos detection; sdn; software defined ... See more keywords
ShieldRNN: A Distributed Flow-Based DDoS Detection Solution for IoT Using Sequence Majority Voting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3200477
Abstract: The Distributed Denial of Service (DDoS) attack is considered one of the most critical threats on the Internet, blocking legitimate users from accessing online services. Botnets have exploited insecure IoT devices and used them to… read more here.
Keywords: solution; iot; ddos detection; detector ... See more keywords
An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3196942
Abstract: Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have a centralized controller that is a single attractive target for unauthorized users to attack. Cybersecurity in IIoT networks is becoming the most significant challenge, especially… read more here.
Keywords: classification; software defined; ddos detection; iiot networks ... See more keywords
Multi-Scenario Cloud-Edge Collaborative DDoS Detection in LLM-Enabled AIoT
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2025.3637740
Abstract: DDoS attack detection has become crucial for securing the Internet of Things (IoT). However, next-generation intelligent networks produce large-scale, heterogeneous data, and intrusion-detection systems built on conventional AI models lack the capacity to provide targeted… read more here.
Keywords: detection; ddos; cloud edge; scenario ... See more keywords
DDoS Detection Using a Hybrid CNN–RNN Model Enhanced with Multi-Head Attention for Cloud Infrastructure
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app152111567
Abstract: Cloud infrastructure supports modern services across different sectors, such as business, education, lifestyle, government and so on. With the high demand for cloud computing, the security of network communication is also an important consideration. Distributed… read more here.
Keywords: detection; model; ddos detection; cloud infrastructure ... See more keywords