Low-Rate DDoS Attack Detection Based on Factorization Machine in Software Defined Network [PDF]
IEEE Access, 2020 As the Software Define Network (SDN) adopts centralized control logic, it is vulnerable to various types of Distributed Denial of Service (DDoS) attacks.
Zhijun Wu, Meng Yue, Liu Liang
exaly +5 more sources
Research on low-rate DDoS attack of SDN network in cloud environment [PDF]
Tongxin xuebao, 2019 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 +5 more sources
Attack simulation and signature extraction of low-rate DDoS
Tongxin xuebao, 2008 LDDoS （low-rate distributed denial-of-service） was a new type of DDoS attack. It had small traffic and cov- ered by normal network traffic. LDDoS attack was so stealthy that the detection and defense approaches of traditional DDoS could not be effective.
WU Zhi-jun, ZHANG Dong
doaj +4 more sources
Capturing low-rate DDoS attack based on MQTT protocol in software Defined-IoT environment
Array, 2023 The MQTT (Message Queue Telemetry Transport) protocol has recently been standardized to provide a lightweight open messaging service over low-bandwidth and resource-constrained communication environments.
Mustafa Al-Fayoumi, Qasem Abu Al-Haija
doaj +4 more sources
Applied Sciences, 2023 Software-defined networking (SDN) is a unique network architecture isolating the network control plane from the data plane, offering programmable elastic features that allow network operators to monitor their networks and efficiently manage them. However,
Mohammad Adnan Aladaileh +6 more
doaj +2 more sources
An Asynchronous Federated Learning Arbitration Model for Low-Rate DDoS Attack Detection
IEEE Access, 2023 Low-rate Distributed Denial of Service (LDDoS) attacks have been one of the most notorious network security threats, which use periodic slight multi-variate time series pulse flows to degrade network quality.
Zengguang Liu +3 more
doaj +3 more sources
Distributed denial of service detection and mitigation in software-defined networking-enabled software-defined wide area networks. [PDF]
PLoS ONESoftware-defined wide area networks (SD-WAN), empowered by software-defined networking (SDN) technology, offer unparalleled flexibility and efficiency in wireless communication.
Mohamed Musa +7 more
doaj +2 more sources
HLD-DDoSDN: High and low-rates dataset-based DDoS attacks against SDN.
PLoS ONESoftware Defined Network (SDN) has alleviated traditional network limitations but faces a significant challenge due to the risk of Distributed Denial of Service (DDoS) attacks against an SDN controller, with current detection methods lacking evaluation ...
Abdullah Ahmed Bahashwan +6 more
doaj +4 more sources
Multi-type low-rate DDoS attack detection method based on hybrid deep learning
网络与信息安全学报, 2022 Low-Rate distributed denial of service (DDoS) attack attacks the vulnerabilities in the adaptive mechanism of network protocols, posing a huge threat to the quality of network services.Low-Rate DDoS attack was characterized by high secrecy, low attack ...
Lijuan LI +3 more
doaj +3 more sources
DDoS Attack Detection Based on DBN in SDN Environment [PDF]
Jisuanji gongcheng, 2020 The main security threats to Software Defined Network(SDN),a new type of network architecture,are from DDoS attacks.Hence,theestablishment of an efficient DDoS attack detection system is importantt to network security management.In the SDN environment ...
ZHU Jing, WU Zhongdong, DING Longbin, WANG Yang
doaj +1 more source