Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection

[1]  Peixiang Zhao,et al.  TSadv: Black-box adversarial attack on time series with local perturbations , 2022, Eng. Appl. Artif. Intell..

[2]  M. Guizani,et al.  FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning , 2022, Comput. Commun..

[3]  Ishwar Venugopal,et al.  Privacy preserving Generative Adversarial Networks to model Electronic Health Records , 2022, Neural Networks.

[4]  Y. Ruichek,et al.  Coarse-to-fine SVD-GAN based framework for enhanced frame synthesis , 2022, Eng. Appl. Artif. Intell..

[5]  Ricardo J. Rodríguez,et al.  LSGAN-AT: enhancing malware detector robustness against adversarial examples , 2021, Cybersecur..

[6]  Yuan Xu,et al.  Novel virtual sample generation using conditional GAN for developing soft sensor with small data , 2021, Eng. Appl. Artif. Intell..

[7]  Theodore B. Zahariadis,et al.  A Review of Tabular Data Synthesis Using GANs on an IDS Dataset , 2021, Inf..

[8]  Mohamed Abdel-Basset,et al.  IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities , 2021 .

[9]  Hossam Faris,et al.  Android botnet detection using machine learning models based on a comprehensive static analysis approach , 2021, J. Inf. Secur. Appl..

[10]  Youyang Qu,et al.  DP-GAN: Differentially private consecutive data publishing using generative adversarial nets , 2021, J. Netw. Comput. Appl..

[11]  Kushan Sudheera Kalupahana Liyanage,et al.  Generative Adversarial Network and Auto Encoder based Anomaly Detection in Distributed IoT Networks , 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

[12]  F. Aloul,et al.  Botnet Attack Detection using Machine Learning , 2020, 2020 14th International Conference on Innovations in Information Technology (IIT).

[13]  Shichao Lv,et al.  Malware Detection for Industrial Internet Based on GAN , 2020, 2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA).

[14]  Jinyin Chen,et al.  MAG-GAN: Massive attack generator via GAN , 2020, Inf. Sci..

[15]  Yan Wu,et al.  WGAN-E: A Generative Adversarial Networks for Facial Feature Security , 2020, Electronics.

[16]  Andrei Petrovski,et al.  Botnet Detection in the Internet of Things using Deep Learning Approaches , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

[17]  Bin Yang,et al.  MedGAN: Medical Image Translation using GANs , 2018, Comput. Medical Imaging Graph..

[18]  Sushil Jajodia,et al.  Data Synthesis based on Generative Adversarial Networks , 2018, Proc. VLDB Endow..

[19]  Shengli Liu,et al.  An enhancing framework for botnet detection using generative adversarial networks , 2018, 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD).

[20]  Maria Rigaki,et al.  Bringing a GAN to a Knife-Fight: Adapting Malware Communication to Avoid Detection , 2018, 2018 IEEE Security and Privacy Workshops (SPW).

[21]  Sepp Hochreiter,et al.  GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.

[22]  Ce Zhang,et al.  Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit , 2017, ArXiv.

[23]  M. Lazaar,et al.  Effect of Features Extraction and Selection on the Evaluation of Machine Learning Models , 2022, IFAC-PapersOnLine.

[24]  M. Lazaar,et al.  Improving Machine Learning Models for Malware Detection Using Embedded Feature Selection Method , 2022, IFAC-PapersOnLine.

[25]  Q. Mahmoud,et al.  A Framework for Anomaly Detection in IoT Networks using Conditional Generative Adversarial Network , 2021, IEEE Access.

[26]  Enrico Anderlini,et al.  Unsupervised anomaly detection for underwater gliders using generative adversarial networks , 2021, Eng. Appl. Artif. Intell..

[27]  Zhaoyun Sun,et al.  Virtual generation of pavement crack images based on improved deep convolutional generative adversarial network , 2021, Eng. Appl. Artif. Intell..

[28]  Jing Li,et al.  attackGAN: Adversarial Attack against Black-box IDS using Generative Adversarial Networks , 2021 .