Machine learning assisted snort and zeek in detecting DDoS attacks in software-defined networking
A new network architecture called the Software-Defined Network (SDN) gives next-
generation networks a more flexible and efficiently controlled network architecture. Using the …
generation networks a more flexible and efficiently controlled network architecture. Using the …
DL-SkLSTM approach for cyber security threats detection in 5G enabled IIoT
A Rajak, R Tripathi - International Journal of Information Technology, 2024 - Springer
The advancement of 5G technology has enabled the IIoT (Industrial Internet of Things) to
integrate artificial intelligence, cloud computing, and edge computing in real-time, leading to …
integrate artificial intelligence, cloud computing, and edge computing in real-time, leading to …
Belief-DDoS: stepping up DDoS attack detection model using DBN algorithm
P Wanda, ME Hiswati - International Journal of Information Technology, 2024 - Springer
Abstract Distributed Denial of Services (DDoS) attacks severely impact various systems.
Traditional approaches like signature-based and scrubbing methods remain shortcomings …
Traditional approaches like signature-based and scrubbing methods remain shortcomings …
FQBDDA: fuzzy Q-learning based DDoS attack detection algorithm for cloud computing environment
With on-demand resources, flexibility, scalability, dynamic nature, and cheaper maintenance
costs, cloud computing technology has revolutionized the Information Technology sector …
costs, cloud computing technology has revolutionized the Information Technology sector …
A survey on the latest intrusion detection datasets for software defined networking environments
HYI Khalid, NBI Aldabagh - Engineering, Technology & Applied Science …, 2024 - etasr.com
Abstract Software Defined Networking (SDN) threats make network components vulnerable
to cyber-attacks, creating obstacles for new model development that necessitate innovative …
to cyber-attacks, creating obstacles for new model development that necessitate innovative …
[HTML][HTML] Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity
MA Hossain, MS Islam - Measurement: Sensors, 2024 - Elsevier
Distributed denial-of-service (DDoS) attacks pose a significant threat to computer networks
and systems by disrupting services through the saturation of targeted systems with traffic …
and systems by disrupting services through the saturation of targeted systems with traffic …
Cyberattack defense mechanism using deep learning techniques in software-defined networks
DS Rao, AJ Emerson - International Journal of Information Security, 2024 - Springer
Software-defined networking (SDN) is a network architecture. It is becoming more popular
due to its centralized network administration, adaptability, and speed. However, the …
due to its centralized network administration, adaptability, and speed. However, the …
Detecting DDoS based on attention mechanism for Software-Defined Networks
In this paper, we propose a deep learning model based on a novel Divide and Conquer
Attention (DCA) mechanism, for efficient detection of Distributed Denial of Service (DDoS) …
Attention (DCA) mechanism, for efficient detection of Distributed Denial of Service (DDoS) …
面向软件定义网络的异常流量检测研究综述
付钰， 王坤， 段雪源， 刘涛涛 - 通信学报, 2024 - infocomm-journal.com
针对软件定义网络(SDN) 较传统网络更易遭受网络攻击的现实, 从技术原理和架构特点出发,
对近年来面向软件定义网络的异常流量检测研究进展进行综述, 分析了SDN …
对近年来面向软件定义网络的异常流量检测研究进展进行综述, 分析了SDN …
[HTML][HTML] Traffic Feature Selection and Distributed Denial of Service Attack Detection in Software-Defined Networks Based on Machine Learning
D Han, H Li, X Fu, S Zhou - Sensors, 2024 - mdpi.com
As 5G technology becomes more widespread, the significant improvement in network speed
and connection density has introduced more challenges to network security. In particular …
and connection density has introduced more challenges to network security. In particular …