Invention Grant
- Patent Title: Non-linear physically unclonable function (PUF) circuit with machine-learning attack resistance
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Application No.: US15277856Application Date: 2016-09-27
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Publication No.: US10027472B2Publication Date: 2018-07-17
- Inventor: Vikram B. Suresh , Sanu K. Mathew , Sudhir K. Satpathy
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Schwabe, Williamson & Wyatt, P.C.
- Main IPC: H03K19/00
- IPC: H03K19/00 ; H04L9/00 ; H03K19/003 ; G06N99/00

Abstract:
Embodiments include apparatuses, methods, and systems for a physically unclonable function (PUF) circuit. The PUF circuit may include an array of PUF cells to generate respective response bits of an authentication code in response to a challenge bit string. The PUF cells may include a pair of cross-coupled inverters, the individual inverters including independently selectable pull-down or pull-up legs. One of the pull-up or pull-down legs of each inverter may be selectively activated based on the challenge bit string. The PUF cells may further include first and second configurable clock delay circuits to pass respective clock signals to pre-charge transistors of the PUF cell. A dark bit masking circuit may generate a soft dark bit mask for the PUF circuit. Other embodiments may be described and claimed.
Public/Granted literature
- US20180091293A1 NON-LINEAR PHYSICALLY UNCLONABLE FUNCTION (PUF) CIRCUIT WITH MACHINE-LEARNING ATTACK RESISTANCE Public/Granted day:2018-03-29
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