[PDF][PDF] An intrusion detection system for sdn using machine learning

G Logeswari, S Bose, T Anitha - Intelligent Automation & …, 2023 - pdfs.semanticscholar.org
Software Defined Networking (SDN) has emerged as a promising and exciting option for the
future growth of the internet. SDN has increased the flexibility and transparency of the …

An intelligent DDoS attack detection tree-based model using Gini index feature selection method

MA Bouke, A Abdullah, SH ALshatebi… - Microprocessors and …, 2023 - Elsevier
Cyber security has recently garnered enormous attention due to the popularity of the Internet
of Things (IoT), intelligent devices' rapid growth, and a vast number of real-life applications …

A deep learning technique to detect distributed denial of service attacks in software-defined networks

WG Gadallah, HM Ibrahim, NM Omar - Computers & Security, 2024 - Elsevier
Abstract Software-Defined Network (SDN) is an established networking paradigm that
separates the control plane from the data plane. It has central network control, and …

Using machine learning and software-defined networking to detect and mitigate DDoS attacks in fiber-optic networks

S Alwabisi, R Ouni, K Saleem - Electronics, 2022 - mdpi.com
Fiber optic networks (FONs) are considered the backbone of telecom companies worldwide.
However, the network elements of FONs are scattered over a wide area and managed …

A comprehensive analysis of machine learning-and deep learning-based solutions for DDoS attack detection in SDN

N Aslam, S Srivastava, MM Gore - Arabian Journal for Science and …, 2024 - Springer
Software-defined networking (SDN) provides programmability, manageability, flexibility and
efficiency compared to traditional networks. These are owing to the SDN's mutual …

Intelligent software defined networking: long short term memory‐graded rated unit enabled block‐attack model to tackle distributed denial of service attacks

MM Jagtap, RD Saravanan - Transactions on Emerging …, 2022 - Wiley Online Library
Software defined networking (SDN) is the next‐generation network. SDN enhances the
programming flexibility, speed and automation to improve the network's performance. In …

[PDF][PDF] Data mining for cyberbullying and harassment detection in Arabic texts

E Bashir, M Bouguessa - International Journal of Information …, 2021 - scholar.archive.org
Broadly cyberbullying is viewed as a severe social danger that influences many individuals
around the globe, particularly young people and teenagers. The Arabic world has embraced …

[PDF][PDF] Multi-Attack Intrusion Detection System for Software-Defined Internet of Things Network.

T Ferrão, F Manene, AA Ajibesin - Computers, Materials & …, 2023 - researchgate.net
Currently, the Internet of Things (IoT) is revolutionizing communication technology by
facilitating the sharing of information between different physical devices connected to a …

Addressing the effectiveness of DDoS-attack detection methods based on the clustering method using an ensemble method

A Zeinalpour, HA Ahmed - Electronics, 2022 - mdpi.com
The curse of dimensionality, due to lots of network-traffic attributes, has a negative impact on
machine learning algorithms in detecting distributed denial of service (DDoS) attacks. This …

An integrated SDN framework for early detection of DDoS attacks in cloud computing

AV Songa, GR Karri - Journal of Cloud Computing, 2024 - Springer
Cloud computing is a rapidly advancing technology with numerous benefits, such as
increased availability, scalability, and flexibility. Relocating computing infrastructure to a …