Conceptio
›
Archive
›
Springer Nature OA
Springer Nature OA
open access
A privacy preserving and trustworthy hybrid deep learning model for zero-day DDoS detection in healthcare industry 5.0
Ali, Asad et al.
Springer Nature OA · Papers · License: Open Access
Open Source ↗
computer-science
operating-systems
Computer Science, Processor Architectures, Operating Systems, Computer Communication Networks
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
Class-based Obfuscation with Multi-objective Evolutionary Algorithms on Source Code
#1068022
Connected vehicles in the 5G era: a position paper
#1068014
Hybrid model for detecting Denial of Wallet attacks in serverless architectures
#1068015
ColonelAdaptAI a prototype guided perturbation learning framework for stable continual neural network adaptation
#1068018
A cognitive network framework for intelligent 5G systems with AI-based traffic analysis and adaptive optimization
#1068020
Record
· ID 977390
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.