A new cloud-based cyber-attack detection architecture for hyper-automation process in industrial internet of things
With rapid development and deployment of artificial intelligence methods, the Industrial
Internet of Things (IIoT) has highly developed to fast tracing industrial communications and …
Internet of Things (IIoT) has highly developed to fast tracing industrial communications and …
Exploring the landscape of AI-SDN: A comprehensive bibliometric analysis and future perspectives
The rising influence of artificial intelligence (AI) enables widespread adoption of the
technology in every aspect of computing, including Software-Defined Networking (SDN) …
technology in every aspect of computing, including Software-Defined Networking (SDN) …
Enhancing Network Threat Detection with Random Forest-Based NIDS and Permutation Feature Importance
MT Abdelaziz, A Radwan, H Mamdouh… - Journal of Network and …, 2025 - Springer
Abstract Network Intrusion Detection Systems (NIDS) are critical for protecting computer
networks from unauthorized activities. Traditional NIDS rely on rule-based signatures, which …
networks from unauthorized activities. Traditional NIDS rely on rule-based signatures, which …
Challenges and Outcomes of Combining Machine Learning with Software-Defined Networking for Network Security and management Purpose: A Review
Current research in data dissemination in Vehicular Ad Hoc Networks (VANETs) has
examined different approaches and frameworks to enhance the effectiveness and …
examined different approaches and frameworks to enhance the effectiveness and …
Mitigating DDoS Attack in SDN Using Random Forest Classifier–Based Flow Table Analysis with Ryu Controller
DS Vadivu, N Rajagopalan - 2024 2nd International …, 2024 - ieeexplore.ieee.org
As the Internet continues to be the primary driver of modern technology, the need for robust
safety procedures increases. Distributed Denial of Service (DDoS) assaults represent an …
safety procedures increases. Distributed Denial of Service (DDoS) assaults represent an …
RyuGuard—Combining Ryu and machine learning for proactive DDoS defense in software‐defined networks
D Sendil Vadivu, N Rajagopalan - Concurrency and Computation … - Wiley Online Library
Software defined network (SDN) is an experimental network design utilized by software
companies, academia, and healthcare systems to provide adequate resource utilization …
companies, academia, and healthcare systems to provide adequate resource utilization …
[PDF][PDF] Tekoälyn hyödyntäminen mobiiliverkon toiminnan optimoinnissa ja kehittämisessä
V Kivisaari, FMM Rantanen - 2024 - utupub.fi
Viime vuosikymmenen aikana mobiiliverkkoteknologia on kehittynyt runsaasti.
Mobiiliverkkoihin yhdistettyjen laitteiden määrä ja verkkojen tarjoamat yhteysnopeudet ovat …
Mobiiliverkkoihin yhdistettyjen laitteiden määrä ja verkkojen tarjoamat yhteysnopeudet ovat …
Leveraging datasets for effective mitigation of DDoS attacks in software-defined networking: significance and challenges
H Dhadhal, P Kotak - Radioelectronic and Computer Systems, 2024 - nti.khai.edu
Abstract Software-Defined Networking (SDN) has emerged as a transformative paradigm for
network management, offering centralized control and programmability. However, with the …
network management, offering centralized control and programmability. However, with the …
Deep Learning Models Comparison in binary context for DDoS Attack Detection in Software-Defined Network
AS Zaidoun, Z Lachiri - 2024 IEEE 7th International …, 2024 - ieeexplore.ieee.org
Software-defined Networks (SDN) are continually evolving, but they also face numerous
security challenges, particularly from Denial of Service (DoS) attacks and their more …
security challenges, particularly from Denial of Service (DoS) attacks and their more …