Jul 26, 2023 · 3, the ideas behind ML modeling attacks on PUFs are presented. Placing both attack and defense research in parallel, Sect. 4 provides an ...
The PUF token demonstrates robustness to simulated noise. Additionally, we evaluate security using a machine learning-based attack model, employing a multi- ...
Jul 26, 2023 · Dive into the research topics of 'ML for Attack and Defense of PUFs: Current Status and Future Directions'. Together they form a unique ...
Securing PUFs against ml modeling attacks via an efficient challenge-response approach ... ML for Attack and Defense of PUFs: Current Status and Future Directions.
They proved the high impact of adversarial attacks over ML-based security systems, highlighting the need for more research on attack and defense methods in the ...
... defense tool against the two most powerful reliability-based ML attack methods. ... Burleson, “Hybrid side-channel/machine-learning attacks on pufs: A new threat?
ML for Attack and Defense of PUFs: Current Status and Future Directions ... PUFs that are secure against state-of-the-art ML attacks. View. Show abstract. A ...
Aug 16, 2023 · Hence, the MAL-IGD PUF is highly resistant to ML attacks, as shown in Table S2 (Supporting Information). The ML attack accuracy of 10.33% showed ...
parameter choices is secure against all current state-of-the-art of machine learning attacks. ... attack on the new dataset to learn the next PUF closest to the.
Missing: Defense | Show results with:Defense
Sep 18, 2024 · In Section 2, we present background information on PUFs and ML attacks on strong PUFs. Sections 3 and 4 outline the proposed attack methods ...