Applications of Transformer Attention Mechanisms in Information Security: Current Trends and Prospects
Author:
Affiliation:
1. AI and Robotics Institute, Near East University,Artificial Intelligence Engineering Dept.,Mersin,Turkey,10
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10102096/10101836/10102203.pdf?arnumber=10102203
Reference27 articles.
1. An Intrusion Detection Model With Hierarchical Attention Mechanism
2. Exploit Internal Structural Information for IoT Malware Detection Based on Hierarchical Transformer Model
3. Network Intrusion Detection Model Based on CNN and GRU
4. Malware Classification on Imbalanced Data through Self-Attention
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1. Fortifying Open RAN Security with Zero Trust Architecture and Transformers;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Advancing IoT Security with a Hybrid Deep Learning Model for Network Intrusion Detection;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14
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