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LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack
  Detection
v1v2 (latest)

LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

12 February 2020
Roberto Doriguzzi-Corin
Stuart Millar
Sandra Scott-Hayward
Jesus Martinez-del-Rincon
Domenico Siracusa
ArXiv (abs)PDFHTML

Papers citing "LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection"

12 / 12 papers shown
Title
DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models
DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models
Zhenyu Yin
Shang Liu
Guangyuan Xu
107
0
0
11 Sep 2024
Introducing Packet-Level Analysis in Programmable Data Planes to Advance
  Network Intrusion Detection
Introducing Packet-Level Analysis in Programmable Data Planes to Advance Network Intrusion Detection
Roberto Doriguzzi-Corin
Luis Augusto Dias Knob
Luca Mendozzi
Domenico Siracusa
Marco Savi
82
26
0
12 Jul 2023
Classification and Explanation of Distributed Denial-of-Service (DDoS)
  Attack Detection using Machine Learning and Shapley Additive Explanation
  (SHAP) Methods
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
Yuanyuan Wei
Ju-Seong Jang
Amardeep Singh
Fariza Sabrina
S. Çamtepe
FAttAAML
23
1
0
27 Jun 2023
An Efficient and Reliable Asynchronous Federated Learning Scheme for
  Smart Public Transportation
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation
Chenhao Xu
Youyang Qu
Tom H. Luan
Peter W. Eklund
Yong Xiang
Longxiang Gao
134
34
0
15 Aug 2022
An Intrusion Detection System based on Deep Belief Networks
An Intrusion Detection System based on Deep Belief Networks
Othmane Belarbi
Aftab Khan
P. Carnelli
Theodoros Spyridopoulos
55
39
0
05 Jul 2022
Bankrupting DoS Attackers
Bankrupting DoS Attackers
Trisha Chakraborty
A. Najmul Islam
Valerie King
D. Rayborn
Jared Saia
Maxwell Young
AAML
121
2
0
17 May 2022
FLAD: Adaptive Federated Learning for DDoS Attack Detection
FLAD: Adaptive Federated Learning for DDoS Attack Detection
Roberto Doriguzzi-Corin
Domenico Siracusa
FedML
121
68
0
13 May 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network
  Anomaly Detection
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection
W. T. Lunardi
Martin Andreoni Lopez
J. Giacalone
104
23
0
03 May 2022
The Cross-evaluation of Machine Learning-based Network Intrusion
  Detection Systems
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Giovanni Apruzzese
Luca Pajola
Mauro Conti
81
56
0
09 Mar 2022
GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection
GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection
Maged AbdelAty
Sandra Scott-Hayward
Roberto Doriguzzi-Corin
Domenico Siracusa
AAML
60
25
0
31 Jan 2022
Federated Learning for Intrusion Detection System: Concepts, Challenges
  and Future Directions
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
Shaashwat Agrawal
Sagnik Sarkar
Ons Aouedi
Gokul Yenduri
Kandaraj Piamrat
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Thippa Reddy Gadekallu
90
258
0
16 Jun 2021
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial
  Control Systems
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems
Maged AbdelAty
Roberto Doriguzzi-Corin
Domenico Siracusa
65
44
0
14 Sep 2020
1