Optimization Method for the Detection and Mitigation of Spoofing Attacks on RFID Readers in Industrial Networks

The article presents a method for optimizing the detection and prevention of spoofing attacks targeting RFID readers used in production networks. The analysis revealed the infrastructure’s vulnerability to impersonation attempts of authorized devices or production process elements, potentially leading to unauthorized operations, disruptions, or even paralysis of the entire process. In response to these identified threats, an anomaly detection algorithm was developed for an intermediate device, operating independently of the production system’s source code. A mechanism for blocking suspicious messages in real-time was proposed, along with a schematic representation of the solution’s operation. The conducted analysis confirms that the proposed method enhances RFID network security without affecting the integrity of existing industrial systems.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.655
Primary Topic
Cybersecurity and Information Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization Method for the Detection and Mitigation of Spoofing Attacks on RFID Readers in Industrial Networks

Łukasz Lemieszewski, Szymon Prochacki, Jakub Baraniecki, Wojciech Zając
Procedia Computer Science
Cybersecurity and Information Systems
article

Optimization Method for the Detection and Mitigation of Spoofing Attacks on RFID Readers in Industrial Networks

Łukasz Lemieszewski, Szymon Prochacki, Jakub Baraniecki, Wojciech Zając
article en

Abstract

The article presents a method for optimizing the detection and prevention of spoofing attacks targeting RFID readers used in production networks. The analysis revealed the infrastructure’s vulnerability to impersonation attempts of authorized devices or production process elements, potentially leading to unauthorized operations, disruptions, or even paralysis of the entire process. In response to these identified threats, an anomaly detection algorithm was developed for an intermediate device, operating independently of the production system’s source code. A mechanism for blocking suspicious messages in real-time was proposed, along with a schematic representation of the solution’s operation. The conducted analysis confirms that the proposed method enhances RFID network security without affecting the integrity of existing industrial systems.

Procedia Computer ScienceVol. 270
The Jacob of Paradies University (PL)
Openalex Percentile: Top 62%
Cybersecurity and Information Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.