Hi Claudio, Yes, It takes 496 msec on my machine. For timing i used the following:
python -m timeit -s 'from pypaillier import generate_keys, encrypt' \
-s 'pk, sk = generate_keys(2048)' \
-s 'm = 98723498' \
'encrypt(m, pk)'
python -m timeit -s 'from pypaillier import generate_keys, encrypt, decrypt' \
-s 'pk, sk = generate_keys(2048)' \
-s 'm = 98723498' \
-s 'c = encrypt(m, pk)' \
'decrypt(c, sk)'
Kind regards,
-Marc
On Fri, Jul 10, 2009 at 03:04:44PM +0200, Claudio Orlandi wrote:
> Hi Marc,
>
> Let me see if I understood the way you measured: it takes 496 msec on
> average to do an encryption with your code, right?
>
> Claudio
>
> On Fri, Jul 10, 2009 at 10:18 AM, Marc Makkes<mmak...@science.uva.nl> wrote:
> > Hi Janus,
> >
> > I think that I'd have reached the stage where you can test my code, but
> > still lacks some basic checks and is still prone to timing attacks and
> > is basically the same viffs current implementation, with some additional
> > speedups. So consequently, it code should only be used for testing purposes
> > only.
> >
> > I'm achieving the following speeds on my atom N270 ( 1.6Ghz ) testing
> > with key sizes of 2048 bit.
> >
> > Viff code:
> > ----------
> > Encrypting:
> > 10 loops, best of 3: 4.42 sec per loop
> > Decrypting:
> > 10 loops, best of 3: 925 msec per loop
> >
> > My code:
> > --------
> > Encrypting:
> > 10 loops, best of 3: 496 msec per loop
> > Decrypting:
> > 10 loops, best of 3: 143 msec per loop
> >
> > For encrypting its almost a 9 fold speedup and for decrypting 6.5 times
> > with respect to the current implementation.
> >
> > In the tar ball you find the small makefile as well as a test.py file.
> > It shows the basic use of all functions. If you have any comments, issues
> > or questions please let me know.
> >
> > Happy testing,
> >
> > -Marc
> >
> > _______________________________________________
> > viff-devel mailing list (http://viff.dk/)
> > viff-devel@viff.dk
> > http://lists.viff.dk/listinfo.cgi/viff-devel-viff.dk
> >
> >
>
>
>
> --
> Claudio Orlandi
>
> PhD student,
> Department of Computer Science, Turing-223
> Aarhus Universitet, Denmark
> http://www.daimi.au.dk/~orlandi
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