Abstract: A side-channel attack countermeasure that leverages implementation diversity and dynamic partial reconfiguration as mechanisms to reduce correlation in the power traces measured during a differential power analysis (DPA) attack. The technique changes the underlying hardware implementation of any encryption algorithm using dynamic partial reconfiguration (DPR) to resist side-channel-based attacks.

Abstract: The invention is directed to an autonomous, self-authenticating and self-contained secure boot-up system and methods for field programmable gate arrays (FPGAs) that leverages physical unclonable functions (PUFs).

Abstract: A side-channel attack countermeasure that leverages implementation diversity and dynamic partial reconfiguration as mechanisms to reduce correlation in the power traces measured during a differential power analysis (DPA) attack. The technique changes the underlying hardware implementation of any encryption algorithm using dynamic partial reconfiguration (DPR) to resist side-channel-based attacks.

Abstract: Authentication that leverages a Physical Unclonable Function (PUF) to generate bitstrings, session keys and long-lived keys (LLK).

Abstract: A privacy-preserving, mutual PUF-based authentication protocol that uses soft data to exchange and correlate Helper Data bitstrings instead of PUF response bitstrings as a means of authenticating chips to prevent attacks.

Abstract: This disclosure describes techniques for analyzing statistical quality of bitstrings produced by a physical unclonable function (PUF). The PUF leverages resistance variations in the power grid wires of an integrated circuit. Temperature and voltage stability of the bitstrings are analyzed. The disclosure also describes converting a voltage drop into a digital code, wherein the conversion is resilient to simple and differential side-channel attacks.

Abstract: The Distribution Effect is proposed for the HELP PUF that is based on purposely introducing biases in the mean and range parameters of path delay distributions to enhance entropy. The biased distributions are then used in the bitstring construction process to introduce differences in the bit values associated with path delays that would normally remain fixed. Offsets are computed to fine tune a token's digitized path delays as a means of maximizing entropy and reproducibility in the generated bitstrings: a first population-based offset method computes median values using data from multiple tokens (i.e., the population) and a second chip-specific technique is proposed which fine tunes path delays using enrollment data from the authenticating token.

Abstract: This disclosure describes techniques for analyzing statistical quality of bitstrings produced by a physical unclonable function (PUF). The PUF leverages resistance variations in the power grid wires of an integrated circuit. Temperature and voltage stability of the bitstrings are analyzed. The disclosure also describes converting a voltage drop into a digital code, wherein the conversion is resilient to simple and differential side-channel attacks.

Abstract: The Distribution Effect is proposed for the HELP PUF that is based on purposely introducing biases in the mean and range parameters of path delay distributions to enhance entropy. The biased distributions are then used in the bitstring construction process to introduce differences in the bit values associated with path delays that would normally remain fixed. Offsets are computed to fine tune a token's digitized path delays as a means of maximizing entropy and reproducibility in the generated bitstrings: a first population-based offset method computes median values using data from multiple tokens (i.e., the population) and a second chip-specific technique is proposed which fine tunes path delays using enrollment data from the authenticating token.

Abstract: A privacy-preserving, mutual PUF-based authentication protocol that uses soft data to exchange and correlate Helper Data bitstrings instead of PUF response bitstrings as a means of authenticating chips to prevent attacks.

Abstract: An authentication protocol using a Hardware-Embedded Delay PUF (“HELP”), which derives randomness from within-die path delay variations that occur along the paths within a hardware implementation of a cryptographic primitive, for example, the Advanced Encryption Standard (“AES”) algorithm or Secure Hash Algorithm 3 (“SHA-3”). The digitized timing values which represent the path delays are stored in a database on a secure server (verifier) as an alternative to storing PUF response bitstrings thereby enabling the development of an efficient authentication protocol that provides both privacy and mutual authentication.

Abstract: A Hardware-Embedded Delay PUF (HELP) leverages entropy by monitoring path stability and measuring path delays from core logic macros. HELP incorporates techniques to deal with bias. A unique feature of HELP is that it may compare data measured from different test structures. HELP may be implemented in existing FPGA platforms. HELP may leverage both path stability and within-die variations as sources of entropy.

Abstract: The invention is directed to an autonomous, self-authenticating and self-contained secure boot-up system and methods for field programmable gate arrays (FPGAs) that leverages physical unclonable functions (PUFs).

Abstract: A side-channel attack countermeasure that leverages implementation diversity and dynamic partial reconfiguration as mechanisms to reduce correlation in the power traces measured during a differential power analysis (DPA) attack. The technique changes the underlying hardware implementation of any encryption algorithm using dynamic partial reconfiguration (DPR) to resist side-channel-based attacks.

Abstract: This disclosure describes techniques for analyzing statistical quality of bitstrings produced by a physical unclonable function (PUF). The PUF leverages resistance variations in the power grid wires of an integrated circuit. Temperature and voltage stability of the bitstrings are analyzed. The disclosure also describes converting a voltage drop into a digital code, wherein the conversion is resilient to simple and differential side-channel attacks.

Abstract: A Hardware-Embedded Delay PUF (HELP) leverages entropy by monitoring path stability and measuring path delays from core logic macros. HELP incorporates techniques to deal with bias. A unique feature of HELP is that it may compare data measured from different test structures. HELP may be implemented in existing FPGA platforms. HELP may leverage both path stability and within-die variations as sources of entropy.

Abstract: This disclosure describes techniques for analyzing statistical quality of bitstrings produced by a physical unclonable function (PUF). The PUF leverages resistance variations in the power grid wires of an integrated circuit. Temperature and voltage stability of the bitstrings are analyzed. The disclosure also describes converting a voltage drop into a digital code, wherein the conversion is resilient to simple and differential side-channel attacks.

Abstract: A Hardware-Embedded Delay PUF (HELP) leverages entropy by monitoring path stability and measuring path delays from core logic macros. HELP incorporates techniques to deal with bias. A unique feature of HELP is that it may compare data measured from different test structures. HELP may be implemented in existing FPGA platforms. HELP may leverage both path stability and within-die variations as sources of entropy.

Abstract: The Distribution Effect is proposed for the HELP PUF that is based on purposely introducing biases in the mean and range parameters of path delay distributions to enhance entropy. The biased distributions are then used in the bitstring construction process to introduce differences in the bit values associated with path delays that would normally remain fixed. Offsets are computed to fine tune a token's digitized path delays as a means of maximizing entropy and reproducibility in the generated bitstrings: a first population-based offset method computes median values using data from multiple tokens (i.e., the population) and a second chip-specific technique is proposed which fine tunes path delays using enrollment data from the authenticating token.

Abstract: A Hardware-Embedded Delay Physical Unclonable Function (“HELP PUF”) leverages entropy by monitoring path stability and measuring path delays from core logic macros. Reliability and security enhancing techniques for the HELP PUF reduce bit flip errors during regeneration of the bitstring across environmental variations and improve cryptographic strength along with the corresponding difficulty of carrying out model building attacks. A voltage-based enrollment process screens unstable paths on normally synthesized (glitchy) functional units and reduces bit flip errors by carrying out enrollment at multiple supply voltages controlled using on-chip voltage regulators.