Deep Learning-Driven Intrusion Detection and Defense Mechanisms: A Novel Approach to Mitigating Cyber Attacks
We present a novel Transformer-based network intrusion detection system (IDS) that automatically learns complex feature relationships from raw traffic. Our architecture embeds both categorical (e.g., protocol, flag) and numer... | Find, read and cite all the research you need on Tech Science Press
Authors
- Jing Cheng (ORCID: https://orcid.org/0000-0001-9098-8048)
Publication Details
- Journal
- Journal of Cyber Security
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/jcs.2025.067979
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of New South Wales