Optically Transparent Frequency Selective Surfaces for Electromagnetic Shielding in Cybersecurity Applications
Source abstract
Abstract
With the widespread diffusion of personal Internet of Things (IoT) devices, Electromagnetic Side-Channel Attacks (EM-SCAs), which exploit electromagnetic emissions to uncover critical data such as cryptographic keys, are becoming extremely common. Existing shielding approaches typically rely on bulky or opaque materials, which limit integration in modern IoT environments; this motivates the need for a transparent, lightweight, and easily integrable solution. Thus, to address this threat, we propose the use of electromagnetic metasurfaces with shielding capabilities, fabricated with an optically transparent conductive film. This film can be easily integrated into glass substrates, offering a novel and discrete shielding solution to traditional methods, which are typically based on opaque dielectric media. The paper presents two proof-of-concept case studies for shielding against EM-SCAs. The first one investigates the design and fabrication of a passive metasurface aimed at shielding emissions from chip processors in IoT devices. The metasurface is conceived to attenuate a specific frequency range, characteristic of the considered IoT processor, with a target attenuation of 30 dB. At the same time, the metasurface ensures that signals from 4G and 5G services are not affected, thus preserving normal wireless communication functioning. Conversely, the second case study introduces an active metasurface for dynamic shielding/transmission behavior, which can be modulated through diodes according to user requirements. This active metasurface is designed to block undesired electromagnetic emissions within the 150–465 MHz frequency range, which is a common band for screen gleaning security threats. The experimental results demonstrate an attenuation of approximately 10 dB across the frequency band when the shielding mode is activated, indicating a substantial reduction in signal transmission. Both the case studies highlight the potential of transparent metasurfaces for secure and dynamic electromagnetic shielding, suggesting their discrete integration in building windows or other environmental structural elements.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electromagnetic wave absorption materials · Advanced Antenna and Metasurface Technologies · Advanced Wireless Communication Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Information Engineering, University of Pisa, 56122 Pisa, Italy
Consorzio Nazionale Interuniversitario per le Telecomunicazioni, 43124 Parma, Italy
References (48)
Show source-provided references
1. Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring10.1109/JTEHM.2020.3028996 ↗
2. Lee, I. (2020). Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management. Future Internet, 12.10.3390/fi12090157 ↗
3. Kaliski, B.S., Koç, Ç.K., and Paar, C. (2003). The EM Side-Channel(s). Cryptographic Hardware and Embedded Systems—CHES 2002, Springer.10.1007/3-540-36400-5 ↗
4. Taxonomy and Challenges of Out-of-Band Signal Injection Attacks and Defenses10.1109/COMST.2019.2952858 ↗
5. Wiener, M. (1999). Differential Power Analysis. Advances in Cryptology—CRYPTO’99, Springer.10.1007/3-540-48405-1 ↗
6. Electromagnetic Analysis: Concrete Results10.1007/3-540-44709-1_21 ↗
7. Mangard, S., and Poschmann, A.Y. (2015). Side Channel Attacks on Smartphones and Embedded Devices Using Standard Radio Equipment. Constructive Side-Channel Analysis and Secure Design, Springer.10.1007/978-3-319-21476-4 ↗
8. Joux, A. (2009). A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks. Advances in Cryptology—EUROCRYPT 2009, Springer.10.1007/978-3-642-01001-9 ↗
9. Wang, R., Wang, H., and Dubrova, E. (2020, January 13). Far Field EM Side-Channel Attack on AES Using Deep Learning. Proceedings of the 4th ACM Workshop on Attacks and Solutions in Hardware Security (ASHES’20), Virtual.10.1145/3411504.3421214 ↗
10. Systematic Classification of Side-Channel Attacks: A Case Study for Mobile Devices10.1109/COMST.2017.2779824 ↗
11. Improved Power/EM Side-Channel Attack Resistance of 128-Bit AES Engines with Random Fast Voltage Dithering10.1109/JSSC.2018.2875112 ↗
12. Fan, J., Guo, X., De Mulder, E., Schaumont, P., Preneel, B., and Verbauwhede, I. (2010, January 13–14). State-of-the-Art of Secure ECC Implementations: A Survey on Known Side-Channel Attacks and Countermeasures. Proceedings of the IEEE International Symposium on Hardware-Oriented Security and Trust (HOST), Anaheim, CA, USA.10.1109/HST.2010.5513110 ↗
13. A Survey of Side-Channel Attacks on Caches and Countermeasures10.1007/s41635-017-0025-y ↗
14. Side Channel Attacks on GPRS Standard Encryption Algorithms10.1145/3716385 ↗
15. Low Frequency Magnetic Metasurface for Wireless Power Transfer Applications: Reducing Losses Effect and Optimizing Loading Condition10.1109/ACCESS.2023.3291338 ↗
16. A Dual-Polarized and Wideband Switchable Absorption/Transmission Frequency Selective Surface with Multispectral Functionality10.1109/OJAP.2023.3347083 ↗
17. Engheta, N., and Ziolkowski, R.W. (2006). Metamaterials: Physics and Engineering Explorations, Wiley-Interscience.10.1002/0471784192 ↗
18. The Electrodynamics of Substances with Simultaneously Negative Values of ε and μ10.1070/PU1968v010n04ABEH003699 ↗
19. Scattering by a Two-Dimensional Periodic Array of Narrow Plate10.1002/rds19672111347 ↗
20. Technique for Analyzing Frequency Selective Surfaces (FSS)—A Review10.1109/5.16352 ↗
21. Munk, B.A. (2005). Frequency Selective Surfaces: Theory and Design, John Wiley & Sons.
22. In Vitro Demonstration of Battery Charging Using Compact Four-Resonator WPT System with Stacked Metamaterial for Biomedical Implants10.1109/TMTT.2025.3587000 ↗
23. Müller, J., Falchi, M., Stoja, E., Konstandiri, S., Gunther, M., Brizi, D., Usai, P., Monorchio, A., and Philipp, D. (2024, January 17–22). Deep-Learning Optimized Reconfigurable Metasurface for Magnetic Resonance Imaging. Proceedings of the 18th European Conference on Antennas and Propagation (EuCAP), Glasgow, UK.10.23919/EuCAP60739.2024.10500954 ↗
24. A Compact, Broadband, Radar-Infrared Multispectral Stealth Antenna Based on Dual-Functional Polarization Conversion Metasurface10.1109/TAP.2025.3575299 ↗
25. Polarization-Insensitive and Oblique Incident Angle Stable Miniaturized Conformal FSS for 28/38 GHz mm-Wave Band 5G EMI Shielding Applications10.1109/LAWP.2023.3284860 ↗
26. De Mello, R.G.L. (2025). Metasurface-Driven Electronic Warfare, IEEE eBooks. Available online: https://ieeexplore.ieee.org/book/10799164.
27. Design and Fabrication of 77-GHz Radar Absorbing Materials Using Frequency-Selective Surfaces for Autonomous Vehicles Application10.1109/LMWC.2019.2949141 ↗
28. Violi, V., Brizi, D., and Monorchio, A. (2025). Multi-Layer Frequency Selective Surface Wideband Filter with High Selectivity Operating in L, S, and C Bands. Sci. Rep., 15.10.1038/s41598-025-12918-3 ↗
29. Design of Dual-Stopband FSS with Tightly Spaced Frequency Response Characteristics10.1109/LMWC.2022.3164070 ↗
30. An Electronically Reconfigurable Magnetic Metasurface for Enhanced Low-Frequency Wireless Power Transfer Applications10.1109/JMW.2025.3539953 ↗
31. Arbitrarily Conformal Metasurfaces for Enhanced Wireless Power Transfer Systems10.1109/ACCESS.2024.3396826 ↗
32. Hybrid FSS and Rectenna Design for Wireless Power Harvesting10.1109/TAP.2016.2536168 ↗
33. Frequency Selective Surface Structures-Based RF Energy Harvesting Systems and Applications10.1109/MMM.2023.3340988 ↗
34. Generalized Synthesized Technique for the Design of Thickness Customizable High-Order Bandpass Frequency-Selective Surface
35. Secure Electromagnetic Buildings Using Slow Phase-Switching Frequency-Selective Surfaces10.1109/TAP.2015.2499773 ↗
36. Injecting Reliable Radio Frequency Fingerprints Using Metasurface for the Internet of Things10.1109/TIFS.2020.3045318 ↗
37. Decoster, B., Maes, S., Cuiñas, I., García Sánchez, M., Caldeirinha, R., and Verhaevert, J. (2021). Dual-Band Single-Layer Fractal Frequency Selective Surface for 5G Applications. Electronics, 10.10.3390/electronics10222880 ↗
38. Cuiñas, I., Expósito, I., Andriukaitis, D., Caldeirinha, R.F.S., García Sánchez, M., and Valinevičius, A. (2024). Integration of Frequency-Selective Surfaces as Smart Skins in Building Envelopes and Divisions: Insulation and Energy Issues. World, 5.10.2139/ssrn.4814567 ↗
39. Interwoven Hexagonal Frequency Selective Surface: An Application for WiFi Propagation Control10.1109/ACCESS.2021.3103698 ↗
40. Liang, J.C., Gao, Y., Cheng, Z.W., Jiang, R.Z., Dai, J.Y., Zhang, L., Cheng, Q., and Cui, T.J. (2024). An optically transparent reconfigurable intelligent surface with low angular sensitivity. Adv. Opt. Mater., 12.10.1002/adom.202202081 ↗
41. Transparent dynamic metasurface for a visually unaffected reconfigurable intelligent surface: Controlling transmission/reflection and making a window into an RF lens10.1364/OE.435648 ↗
42. Mesh-based metasurfaces with high optical transparency10.1364/OE.580488 ↗
43. Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices10.1016/j.diin.2019.04.012 ↗
44. (2025, September 16). PCD Antenna—Precision Conical Dipole Antenna. Available online: https://rf.seibersdorf-laboratories.at/fileadmin/uploads/intranet/dateien/folder/produktblatt_le_pcd_en_web.pdf.
45. Liu, Z., Samwel, N., Weissbart, L., Zhao, Z., Lauret, D., Batina, L., and Larson, M. (2021, January 21–25). Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. Proceedings of the Network and Distributed Systems Security (NDSS) Symposium 2021, Virtual.10.14722/ndss.2021.23021 ↗
46. Method for Detecting Text Information Leakage in Electromagnetic Radiation from a Computer Display10.1049/iet-ifs.2014.0529 ↗
47. Antenna Radiation Pattern Measurement in a Reverberating Enclosure Using the Time-Gating Technique10.1109/LAWP.2019.2957428 ↗
48. Free-Space Radiation Pattern Reconstruction from Non-Anechoic Measurements Using an Impulse Response of the Environment10.1109/TAP.2011.2173117 ↗