Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security
arXiv 2603.28798•db9ccb8e815240c055a8414797483792a5d7cba1f5f47faf32ded2c499a2561e
IDSIoT-authenticationPUFRC-PUFWGAN-GPattestationbackdoor-attacksbenchmarkingdataset-condensationdataset-poisoningdifferential-privacygenerative-augmentationjailbreak-defensesmachine-learning-securitymulti-agent-systemsprivacy-guardprompt-injectionprompt-optimizationruntime-enforcementskill-securitysmall-language-modelssupply-chain-securitytoken-activation
Paper metadata
- arXiv ID
- 2603.28798
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- db9ccb8e815240c055a8414797483792a5d7cba1f5f47faf32ded2c499a2561e
- Enrichment time
- 2026-04-01T07:23:34Z
- AI-assisted enrichment
- Yes
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