Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
Authors: Mirza Akhi Khatun, Sanober Farheen Memon, Ciarán Eising, Lubna Luxmi Dhirani | Published: 2024-01-17
DDoS攻撃
Network-Aware AutoML Framework for Software-Defined Sensor Networks
Authors: Emre Horsanali, Yagmur Yigit, Gokhan Secinti, Aytac Karameseoglu, Berk Canberk | Published: 2023-10-19 | Updated: 2023-10-25
Predict And Prevent DDOS Attacks Using Machine Learning and Statistical Algorithms
Authors: Azadeh Golduzian | Published: 2023-08-30
An Effective Deep Learning Based Multi-Class Classification of DoS and DDoS Attack Detection
Authors: Arun Kumar Silivery, Kovvur Ram Mohan Rao, L K Suresh Kumar | Published: 2023-08-17
Towards Explainable Meta-Learning for DDoS Detection
Authors: Qianru Zhou, Rongzhen Li, Lei Xu, Arumugam Nallanathan, Jian Yang, Anmin Fu | Published: 2022-04-05 | Updated: 2022-08-16
Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid
Authors: Lynn Pepin, Lizhi Wang, Jiangwei Wang, Songyang Han, Pranav Pishawikar, Amir Herzberg, Peng Zhang, Fei Miao | Published: 2022-03-18
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks
Authors: Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili | Published: 2022-03-18
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
Authors: João Vitorino, Nuno Oliveira, Isabel Praça | Published: 2022-03-08 | Updated: 2022-03-29
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks
Authors: Haoyu Liu, Paul Patras | Published: 2022-02-20 | Updated: 2022-04-20
Availability Attacks Create Shortcuts
Authors: Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu | Published: 2021-11-01 | Updated: 2022-06-02