arXiv:2607.02567v1 Announce Type: cross Abstract: Radio frequency fingerprint identification (RFFI) provides a physical-layer credential for Internet of Things devices, but open-set decisions become fragile when a threshold calibrated on a source receiver is transferred to a target receiver. Receiver shift can lower the confidence of known transmitters and cause false rejection; closed-set alignment can have the opposite effect by pulling unseen target transmitters into known regions and increasing false acceptance. This letter presents CRODA-ST, a structure-first adaptation framework for sing
The proliferation of IoT devices necessitates robust and adaptive physical-layer security, driving research into resilient fingerprint recognition methods against evolving and heterogeneous network conditions.
This development enhances the security and trust in IoT and critical infrastructure by improving the reliability of device identification, particularly in environments with diverse radio receivers, mitigating vulnerabilities to spoofing and unauthorized access.
The ability to accurately identify radio devices across different receivers with CRODA-ST means enhanced security for IoT and critical communication networks, making them more resistant to deceptive attacks and enabling more reliable authentication.
- · IoT device manufacturers
- · Cybersecurity firms
- · Critical infrastructure operators
- · Defence sector
- · Malicious actors exploiting device impersonation
- · Unsecured IoT platforms
Increased trust and adoption of IoT in sensitive applications as device identity becomes more robust.
Reduced incidence of network intrusions and data breaches originating from compromised IoT devices due to improved authentication.
Potential for new regulatory standards for physical-layer security in IoT, driven by the enhanced capabilities demonstrated by technologies like CRODA-ST.
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