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machine learning and deep learning techniques for distributed denial of service anomaly detection in software defined networks—current research solutions
This state-of-the-art review comprehensively examines the landscape of Distributed Denial
of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens …
of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens …
A comprehensive survey on low-rate and high-rate DDoS defense approaches in SDN: taxonomy, research challenges, and opportunities
Abstract Software Defined Networking (SDN) expands the networking capabilities using
abstraction, open-source protocols, energy efficiency, and programmable features for …
abstraction, open-source protocols, energy efficiency, and programmable features for …
Heuristic machine learning approaches for identifying phishing threats across web and email platforms
Life has become more comfortable in the era of advanced technology in this cutthroat
competitive world. However, there are also emerging harmful technologies that pose a …
competitive world. However, there are also emerging harmful technologies that pose a …
Identification and mitigation of phishing email attacks using deep learning
J Ramprasath, S Priyanka, R Manudev… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Internet security is seriously threatened by email-based internet phishing. The process of
completely hiding the sender information of a phishing mails is far less flexible than the …
completely hiding the sender information of a phishing mails is far less flexible than the …
Hybridization of synergistic swarm and differential evolution with graph convolutional network for distributed denial of service detection and mitigation in IoT …
Enhanced technologies of the future are gradually improving the digital landscape. Internet
of Things (IoT) technology is an advanced technique that is quickly increasing owing to the …
of Things (IoT) technology is an advanced technique that is quickly increasing owing to the …
Secured data transaction for agriculture harvesting using blockchain technology
J Ramprasath, MM Nishath… - … on Vision Towards …, 2023 - ieeexplore.ieee.org
One of the biggest sectors in the world is agriculture, and a lot of data is produced every day
in this industry. However, because there aren't adequate data management systems, this …
in this industry. However, because there aren't adequate data management systems, this …
An efficient DDoS attack detection and prevention model using fusion heuristic enhancement of deep learning approach in FANET sector
Abstract Problem overview A Flying Ad-hoc Network (FANET) is a decentralized
communication network formed by Unmanned Aerial Vehicles (UAVs). However, it faces …
communication network formed by Unmanned Aerial Vehicles (UAVs). However, it faces …
Modeling DDOS attacks in sdn and detection using random forest classifier
ABSTRACT A Software-defined network paradigm provides flexibility and programmability to
deal with the growing users of future networks. As a result of the centralized control attribute …
deal with the growing users of future networks. As a result of the centralized control attribute …
ML-Based Anomaly Detection in 6G Networks: A Survey on the Current Status, Challenges, and Future Directions
N Nezhadsistani, B Stiller - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
As the development of 6G networks accelerates, ensuring robust security measures
becomes paramount to safeguard against emerging threats. Anomaly detection, a crucial …
becomes paramount to safeguard against emerging threats. Anomaly detection, a crucial …
Detection and Prevention of Distributed Denial of Service (DDoS) Attacks Using Machine Learning Techniques
A Varma, AT Kumar, B Yamini - 2024 2nd International …, 2024 - ieeexplore.ieee.org
DDoS attack detection/prevention is vital across industries to thwart data breaches.
Employing tech like data loss prevention systems and fostering security-aware culture …
Employing tech like data loss prevention systems and fostering security-aware culture …