1994-04-11 - Re: number theory

Header Data

From: Phil Karn <karn@qualcomm.com>
To: cypherpunks@toad.com
Message Hash: 907375482e5746affb8e1629179f01d803c0b9358884d5ce5ce4ffc84540185a
Message ID: <199404112346.QAA11556@servo.qualcomm.com>
Reply To: <199404112227.PAA07925@mail2.netcom.com>
UTC Datetime: 1994-04-11 23:47:24 UTC
Raw Date: Mon, 11 Apr 94 16:47:24 PDT

Raw message

From: Phil Karn <karn@qualcomm.com>
Date: Mon, 11 Apr 94 16:47:24 PDT
To: cypherpunks@toad.com
Subject: Re: number theory
In-Reply-To: <199404112227.PAA07925@mail2.netcom.com>
Message-ID: <199404112346.QAA11556@servo.qualcomm.com>
MIME-Version: 1.0
Content-Type: text/plain


What estimates exist for the density of large Carmichael numbers, say
1000 bits long? I.e., what's the probability of running into one by
accident when generating primes by the usual technique of picking a
random starting point and searching up until you find a number that
passes seive or small factor tests and a few iterations of Fermat's
test? Are other probability tests like Miller-Rabin any more provably
likely to detect these?

I'm currently playing with the Miller-Rabin test. Boy, is modular
exponentiation a pig (at least the routine in RSAREF).

Phil






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