Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective.
A zero-day vulnerability is a critical security weakness of software or hardware that has not yet been found and, for that reason, neither the vendor nor the users are informed about it. These vulnerabilities may be taken advantage of by malicious people to execute cyber-attacks leading to severe ef...
Saved in:
| Main Authors: | Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faisal S Alsubaei, Eesa Alsolami, Muhammad D Zakaria |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0324595 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP.
by: Sajid Mehmood, et al.
Published: (2025-01-01) -
Reinforcement Learning Applications in Cyber Security: A Review
by: Murat Gök, et al.
Published: (2023-04-01) -
Adaptive Neural Network-Based Resilient Output Feedback Control of Cyber-Physical Systems Under Multi-Channel Stochastic False Data Injection
by: Muhammad Mamoon, et al.
Published: (2024-01-01) -
Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning
by: Muhammad Asif, et al.
Published: (2024-01-01) -
Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection
by: Abdulrahman A. Alshdadi, et al.
Published: (2024-12-01)