Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches
The proliferation of the Internet of Things (IoT) devices has led to a surge in Internet traffic
characterized by variabilities in Quality of Service (QoS) demands. Managing these devices …
characterized by variabilities in Quality of Service (QoS) demands. Managing these devices …
Overview of Anomaly Detection Techniques across Different Domains: A Systematic Review
VU Ramasamy - … Journal of Computational and Experimental Science …, 2024 - ijcesen.com
An anomaly, defined as something that deviates from what is normal, expected, or usual. It
signifies abnormality or an irregularity that stands out from typical behaviours or patterns …
signifies abnormality or an irregularity that stands out from typical behaviours or patterns …
Enhancing DDoS attack detection and mitigation in SDN using an ensemble online machine learning model
Software Defined Networks (SDN) offer dynamic reconfigurability and scalability,
revolutionizing traditional networking. However, countering Distributed Denial of Service …
revolutionizing traditional networking. However, countering Distributed Denial of Service …
AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks
Software-Defined Networking (SDN), which is used in Industrial Internet of Things, uses a
controller as its “network brain” located at the control plane. This uniquely distinguishes it …
controller as its “network brain” located at the control plane. This uniquely distinguishes it …
BCDM: An Early-Stage DDoS Incident Monitoring Mechanism Based on Binary-CNN in IPv6 Network
The rapid adoption of IPv6 has increased network access scale while also escalating the
threat of Distributed Denial of Service (DDoS) attacks. By the time a DDoS attack is …
threat of Distributed Denial of Service (DDoS) attacks. By the time a DDoS attack is …
In-Line Any-Depth Deep Neural Networks Using P4 Switches
In-network function offloading using programmable data plane languages like P4 offers
computational resource savings and efficient operations at the network edge. However, the …
computational resource savings and efficient operations at the network edge. However, the …
uitSDD: Protect software defined networks from distributed denial-of-service using multi machine learning models
NT Cam, TD Viet - Cluster Computing, 2025 - Springer
The escalating risks to network security, stemming from the continual evolution of network
infrastructure and application systems, have significantly impacted system availability, with …
infrastructure and application systems, have significantly impacted system availability, with …
A Comprehensive Survey of Distributed Denial of Service Detection and Mitigation Technologies in Software-Defined Network
Y Su, D Xiong, K Qian, Y Wang - Electronics, 2024 - mdpi.com
The widespread adoption of software-defined networking (SDN) technology has brought
revolutionary changes to network control and management. Compared to traditional …
revolutionary changes to network control and management. Compared to traditional …
[PDF][PDF] Open-Source Software Defined Networking Controllers: State-of-the-Art, Challenges and Solutions for Future Network Providers.
ABSTRACT Software Defined Networking (SDN) is programmable by separation of
forwarding control through the centralization of the controller. The controller plays the role of …
forwarding control through the centralization of the controller. The controller plays the role of …
Internet of Things Intrusion Detection System: A Systematic Study of Artificial Intelligence, Deep Learning, and Machine Learning Approaches
JB Awotunde, AO Babatunde, RG Jimoh… - Big Data and Edge …, 2024 - taylorfrancis.com
The Internet of Things (IoT) intrusion detection system (IDS) is a comprehensive study that
explores various artificial intelligence (AI), deep learning (DL), and machine learning (ML) …
explores various artificial intelligence (AI), deep learning (DL), and machine learning (ML) …