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Software-defined networking-based DDoS defense mechanisms
Distributed Denial of Service attack (DDoS) is recognized to be one of the most catastrophic
attacks against various digital communication entities. Software-defined networking (SDN) is …
attacks against various digital communication entities. Software-defined networking (SDN) is …
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 …
Euclid: A fully in-network, P4-based approach for real-time DDoS attack detection and mitigation
A da Silveira Ilha, ÂC Lapolli… - … on Network and …, 2020 - ieeexplore.ieee.org
Distributed Denial-of-Service (DDoS) attacks have been steadily escalating in frequency,
scale, and disruptiveness-with outbreaks reaching multiple terabits per second and …
scale, and disruptiveness-with outbreaks reaching multiple terabits per second and …
[PDF][PDF] Detection of the botnets' low-rate DDoS attacks based on self-similarity
S Lysenko, K Bobrovnikova, S Matiukh… - International Journal of …, 2020 - academia.edu
Nowadays the cybercriminals implement different ways to obtain the profit from the
legitimate businesses, which have become theirs target. Malware are one of the most …
legitimate businesses, which have become theirs target. Malware are one of the most …
[HTML][HTML] SA-IDS: A single attribute intrusion detection system for Slow DoS attacks in IoT networks
A Reed, L Dooley, S Kouadri - Internet of Things, 2025 - Elsevier
Abstract Internet of Things (IoT) technologies are expanding and pervade evermore
application domains bringing a raft of positive user benefits. However, the matter of …
application domains bringing a raft of positive user benefits. However, the matter of …
Hunt for unseen intrusion: Multi-head self-attention neural detector
A network intrusion detection (NID) system plays a critical role in cybersecurity. However, the
existing machine learning-based NID research has a vital issue that their experimental …
existing machine learning-based NID research has a vital issue that their experimental …
Detection and Mitigation of Low and Slow DDoS attack in an SDN environment
ANHD Sai, BH Tilak, NS Sanjith… - 2022 International …, 2022 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks aim to make a server unresponsive by flooding
the target server with a large volume of packets (Volume based DDoS attacks), by kee** …
the target server with a large volume of packets (Volume based DDoS attacks), by kee** …
[HTML][HTML] Introducing the slowdrop attack
In network security, Denial of Service (DoS) attacks target network systems with the aim of
making them unreachable. Last generation threats are particularly dangerous because they …
making them unreachable. Last generation threats are particularly dangerous because they …
A reliable real-time slow DoS detection framework for resource-constrained IoT networks
A Reed, LS Dooley… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Slow DoS attacks have proven to pose a significant security threat to low-resource IoT
devices and networks, because they can be launched by nodes which consume nominal …
devices and networks, because they can be launched by nodes which consume nominal …
Mitigating slow hypertext transfer protocol distributed denial of service attacks in software defined networks
OS Akanji, OA Abisoye… - Journal of Information and …, 2021 - e-journal.uum.edu.my
Distributed Denial of Service (DDoS) attacks has been one of the persistent forms of attacks
on information technology infrastructure connected to public networks due to the ease of …
on information technology infrastructure connected to public networks due to the ease of …