A hybrid machine learning approach for detecting unprecedented DDoS attacks. [PDF]
J Supercomput, 2022 Najafimehr M, Zarifzadeh S, Mostafavi S.
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A Framework for Detecting and Mitigating DDoS Attacks in Software-Defined IoT Networks
This thesis presents a framework for DDoS detection in SD-IoT networks, including dataset generation, DDoS detection and mitigation.The integration of Internet of Things (IoT) technology and Software-Defined Networking (SDN) into Software-Defined IoT (SD-
Sun, Pengxiang
core
KS-DDoS: Kafka streams-based classification approach for DDoS attacks. [PDF]
J Supercomput, 2022 Patil NV, Krishna CR, Kumar K.
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, 2023 Distributed Denial-of-Service (DDoS) is one of the most common cyberattack used by malicious actors. It has been evolving over the years, using more complex techniques to increase its attack power and surpass the current defense mechanisms. Due to the existent number of different DDoS attacks and their constant evolution, companies need to be ...
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A novel approach for DDoS attacks detection in COVID-19 scenario for small entrepreneurs. [PDF]
Technol Forecast Soc Change, 2022 Gaurav A, Gupta BB, Panigrahi PK.
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Detection of UDP-Based Volumetric DDoS Attacks in IoT Environments Using LSTM with Temporal Attention Mechanism. [PDF]
Sensors (Basel)Aydin BE, Güney Z, Aydin H.
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VMFCVD: An Optimized Framework to Combat Volumetric DDoS Attacks using Machine Learning. [PDF]
Arab J Sci Eng, 2022 Prasad A, Chandra S.
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Retraction Note: Prediction of DDoS attacks in agriculture 4.0 with the help of prairie dog optimization algorithm with IDSNet. [PDF]
Sci RepVatambeti R +5 more
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SSK-DDoS: distributed stream processing framework based classification system for DDoS attacks. [PDF]
Cluster Comput, 2022 Patil NV, Krishna CR, Kumar K.
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A hybrid machine learning approach for detecting DDoS attacks in software-defined networks. [PDF]
Sci RepMahar IA +5 more
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