Towards Explainable Network Intrusion Detection using Large Language Models
Authors: Paul R. B. Houssel, Priyanka Singh, Siamak Layeghy, Marius Portmann | Published: 2024-08-08
ネットワーク脅威検出
Practical Performance of a Distributed Processing Framework for Machine-Learning-based NIDS
Authors: Maho Kajiura, Junya Nakamura | Published: 2024-05-20
NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models
Authors: Chen Qian, Xiaochang Li, Qineng Wang, Gang Zhou, Huajie Shao | Published: 2024-03-15 | Updated: 2024-03-19
Utilizing Deep Learning for Enhancing Network Resilience in Finance
Authors: Yulu Gong, Mengran Zhu, Shuning Huo, Yafei Xiang, Hanyi Yu | Published: 2024-02-15 | Updated: 2024-02-18
Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks — Position Paper
Authors: Shariq Murtuza | Published: 2024-02-10
MediHunt: A Network Forensics Framework for Medical IoT Devices
Authors: Ayushi Mishra, Tej Kiran Boppana, Priyanka Bagade | Published: 2023-12-07
Machine learning-based malware detection for IoT devices using control-flow data
Authors: Gergely Hevesi | Published: 2023-11-20
Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection
Authors: Marc Schmitt | Published: 2023-10-15
A Survey on Enterprise Network Security: Asset Behavioral Monitoring and Distributed Attack Detection
Authors: Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman | Published: 2023-06-29
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
Authors: Yuanyuan Wei, Julian Jang-Jaccard, Amardeep Singh, Fariza Sabrina, Seyit Camtepe | Published: 2023-06-27