TY - BOOK
T1 - How to manipulate curve standards : a white paper for the black hat
AU - Bernstein, D.J.
AU - Chou, T.
AU - Chuengsatiansup, C.
AU - Hülsing, A.T.
AU - Lange, T.
AU - Niederhagen, R.F.
AU - Vredendaal, van, C.
PY - 2014
Y1 - 2014
N2 - This paper analyzes the cost of breaking ECC under the following assumptions: (1) ECC is using a standardized elliptic curve that was actually chosen by an attacker; (2) the attacker is aware of a vulnerability in some curves that are not publicly known to be vulnerable.
This cost includes the cost of exploiting the vulnerability, but also the initial cost of computing a curve suitable for sabotaging the standard. This initial cost depends upon the acceptability criteria used by the public to decide whether to allow a curve as a standard, and (in most cases) also upon the chance of a curve being vulnerable.
This paper shows the importance of accurately modeling the actual acceptability criteria: i.e., figuring out what the public can be fooled into accepting. For example, this paper shows that plausible models of the "Brainpool acceptability criteria" allow the attacker to target a one-in-a-million vulnerability.
Keywords: Elliptic-curve cryptography, verifiably random curves, verifiably pseudorandom curves, nothing- up-my-sleeve numbers, sabotaging standards, fighting terrorism, protecting the children
AB - This paper analyzes the cost of breaking ECC under the following assumptions: (1) ECC is using a standardized elliptic curve that was actually chosen by an attacker; (2) the attacker is aware of a vulnerability in some curves that are not publicly known to be vulnerable.
This cost includes the cost of exploiting the vulnerability, but also the initial cost of computing a curve suitable for sabotaging the standard. This initial cost depends upon the acceptability criteria used by the public to decide whether to allow a curve as a standard, and (in most cases) also upon the chance of a curve being vulnerable.
This paper shows the importance of accurately modeling the actual acceptability criteria: i.e., figuring out what the public can be fooled into accepting. For example, this paper shows that plausible models of the "Brainpool acceptability criteria" allow the attacker to target a one-in-a-million vulnerability.
Keywords: Elliptic-curve cryptography, verifiably random curves, verifiably pseudorandom curves, nothing- up-my-sleeve numbers, sabotaging standards, fighting terrorism, protecting the children
M3 - Report
T3 - Cryptology ePrint Archive
BT - How to manipulate curve standards : a white paper for the black hat
PB - IACR
ER -