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DC-NFC: A Custom Deep Learning Framework for Security and Privacy in NFC-Enabled IoT.

Abdul Rehman¹, Omar Alharbi², Yazeed Qasaymeh²

¹Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan.

Sensors (Basel, Switzerland)

|March 17, 2025

Summary

This summary is machine-generated.

This study introduces DC-NFC, a deep learning framework to secure Near Field Communication (NFC) in IoT. It enhances security and privacy against threats, achieving high accuracy and low latency for robust protection.

Keywords:

Internet of Things everything deep learning near-field communication privacy preservation security

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Area of Science:

Computer Science
Cybersecurity
Artificial Intelligence

Background:

Near Field Communication (NFC) is vital for Internet of Things (IoT) ecosystems, enabling proximity-based data exchange.
NFC-enabled IoT devices face significant security and privacy risks, including eavesdropping, relay attacks, and spoofing.

Purpose of the Study:

To introduce DC-NFC, a novel deep learning framework to enhance NFC security and privacy in IoT environments.
To address the vulnerabilities inherent in NFC communications within the Internet of Everywhere (IoET) context.

Main Methods:

The DC-NFC framework integrates three components: a Contextual Encoder (CE) for pattern capture, a Privacy-Preserving Module (PML) for end-to-end privacy, and an Adaptive Threat Filter (ATF) for real-time detection.
Experiments were conducted on four benchmark datasets: UNSW-NB15, Bot-IoT, TON-IoT Telemetry, and Edge-IIoTset.

Main Results:

The proposed framework demonstrated significant improvements in security metrics across all tested datasets.
Achieved accuracy enhancements up to 95% on the UNSW-NB15 dataset and consistent F1-scores above 0.90.
Highlighted real-time processing capabilities with low latency (20.53s for 1000 devices on UNSW-NB15).

Conclusions:

DC-NFC offers a robust solution for enhancing NFC security and privacy in diverse IoT environments.
The framework's effectiveness in threat detection and real-time adaptation ensures reliable protection for NFC communications.