Springer Nature OA
open access
CC BY 4.0
A cognitive network framework for intelligent 5G systems with AI-based traffic analysis and adaptive optimization
This paper describes the design of a secure and sustainable communication framework that is specifically targeted for interactive mobile learning platforms and the data of the users are protected through effectively applying lightweight cryptographic methods, characterizing an adaptive risk based au
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles#975186
- An IoT-enabled CRNN framework for secure wearable sensor-based activity recognition in physical education.#3979
- Formal modelling and verifying eIDAS multi-factor authentication with interface-based threat analysis#196256
- When to Use Wireless Challenge-Response Physical Layer Authentication: Design of a Measurable Guideline for OFDM#175192
- MechAudit-40: White-Box Auditing across 40 LLM Attack Mechanisms#974719
Record · ID 1068020
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive