Adversarial Machine Learning Attacks and Defenses in Network Intrusion Detection Systems (original) (raw)
Related papers
Computers, Materials & Continua, 2022
IEEE Journal on Selected Areas in Communications, 2021
sheikh burhan ul haque, Khushnaseeb Roshan
IEEE xplore, 2023
Adversarial attacks against supervised machine learning based network intrusion detection systems
Ebtihaj Alshahrani, Daniyal Alghazzawi
PLOS One, 2022
A Deeper Analysis of Adversarial Examples in Intrusion Detection
2020
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Journal of Cybersecurity and Privacy
Adversarial Machine Learning for Network Security
2019 IEEE International Symposium on Technologies for Homeland Security (HST), 2019
Neural Network World
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
Digital Threats: Research and Practice, 2021
Adversarial Examples for Deep Learning Cyber Security Analytics
2019
Survey of Adversarial Attacks in Deep Learning Models
IRJET, 2022
Exploring the Role of Input and Output Layers of a Deep Neural Network in Adversarial Defense
2020 International Conference on Computing and Data Science (CDS), 2020
Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
2018
Detecting adversarial example attacks to deep neural networks
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing
Adversarial Attacks and Defences: A Survey
ArXiv, 2018
Journal of Intelligent & Fuzzy Systems
Security Matters: A Survey on Adversarial Machine Learning
2018
Adversarial Attack on Machine Learning Models
International Journal of Innovative Technology and Exploring Engineering, 2019
Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML
Computers
An efficient convolutional neural network for adversarial training against adversarial attack
Indonesian Journal of Electrical Engineering and Computer Science, 2024
A Tutorial on Adversarial Learning Attacks and Countermeasures
2022
KUNDA: Adversarial Example Detection for Network Intrusion Detection Systems
IJNRES, 2024
IEEE Access
Towards Evaluation of NIDSs in Adversarial Setting
Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks, 2019
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware
IEEE Transactions on Network Science and Engineering (IEEE TNSE), 2021
IEEE Access, 2020
IEEE Access, 2020
IEEE Access, 2020
Enhancing Deep Neural Networks Against Adversarial Malware Examples
A Novel Framework for Smart Cyber Defence: A Deep-Dive Into Deep Learning Attacks and Defences
IEEE Access
Towards Adversarial Attack Resistant Deep Neural Networks
2020
Fast and Robust Detection of Adversarial Attacks in the Problem Space using Machine Learning