Enhancing Explanation of LSTM-Based DDoS Attack Classification Using SHAP With Pattern Dependency
DDoS attacks pose serious threats to the availability and reliability of computer networks. With the increasing complexity of DDoS attacks, the accurate detection and classification of these attacks is essential to ensure the protection of network ...
Basil Assadhan +2 more
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An Intelligent Agent-Based Detection System for DDoS Attacks Using Automatic Feature Extraction and Selection. [PDF]
Abu Bakar R +4 more
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A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking. [PDF]
Bahashwan AA +5 more
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SDN-Defend: A Lightweight Online Attack Detection and Mitigation System for DDoS Attacks in SDN. [PDF]
Wang J, Wang L.
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Deep learning approaches for detecting DDoS attacks: a systematic review. [PDF]
Mittal M, Kumar K, Behal S.
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A hybrid machine learning approach for detecting unprecedented DDoS attacks. [PDF]
Najafimehr M, Zarifzadeh S, Mostafavi S.
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KS-DDoS: Kafka streams-based classification approach for DDoS attacks. [PDF]
Patil NV, Krishna CR, Kumar K.
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A novel approach for DDoS attacks detection in COVID-19 scenario for small entrepreneurs. [PDF]
Gaurav A, Gupta BB, Panigrahi PK.
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VMFCVD: An Optimized Framework to Combat Volumetric DDoS Attacks using Machine Learning. [PDF]
Prasad A, Chandra S.
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