Adaptive clustering with feature ranking for DDoS attacks detection
Distributed Denial of Service (DDoS) attacks pose an increasing threat to the current internet. The detection of such attacks plays an important role in maintaining the security of networks.
L Zi (13639471) +2 more
core
Securing IIoT systems against DDoS attacks with adaptive moving target defense strategies. [PDF]
Swati, Roy S, Singh J, Mathew J.
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A novel optimization-driven deep learning framework for the detection of DDoS attacks. [PDF]
Batchu RK +4 more
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Dataset of DDoS attacks on Fibaro home center 3 for smart home security. [PDF]
Huraj L, Šimon M, Lietava J.
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Improving network resilience against DDoS attacks: A fuzzy TOPSIS-based quantitative assessment approach. [PDF]
Almotiri SH.
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Detection and mitigation of DDoS attacks based on multi-dimensional characteristics in SDN. [PDF]
Wang K, Fu Y, Duan X, Liu T.
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Multiclassification Analysis of Volumetric, Protocol, and Application Layer DDoS Attacks. [PDF]
Brown E +4 more
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An entropy and machine learning based approach for DDoS attacks detection in software defined networks. [PDF]
Hassan AI, El Reheem EA, Guirguis SK.
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Securing IoT Networks from DDoS Attacks Using a Temporary Dynamic IP Strategy. [PDF]
El Fawal AH +3 more
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Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks. [PDF]
Nazih W +4 more
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