satoshi429

I’m proposing a new ECDLP solution needing 1.15*sqrt(N) operations. Check out this paper for methods needing 2*sqrt(N): https://arxiv.org/pdf/1501.07019.

I might be missing something. I get elliptic curve stuff and signature algorithms, but your explanation seems off. Thanks for your work anyway.

Only Windows for now, requires Visual Studio with MFC.

Can I run this on MacOS?

Checked the diagram. If X is the pubkey, what’s the elliptic curve process on X when K = 1.15? Thanks!

I prefer C++ for speed testing. CUDA is way faster but tricky for research. I only use it at the end.

That's in part #3, so probably not too soon.

Now for Part 3, we got RCKangaroo software for both Windows and Linux. Here’s the link: https://github.com/RetiredC/RCKangaroo. This one features a speedy implementation and advanced loop handling for Nvidia cards.

On to Part 2. I’ve got another method for managing kangaroo loops that works for any range and doesn’t increase operations. Only needs a compact list of visited points, and you can code that on GPU too!

So the operations needed are roughly K * sqrt(range), where K varies by the method. First method is Classic totally straightforward. You got tame and wild kangaroos, and a collision between them solves the ECDLP.

Here's the GitHub link: https://github.com/RetiredC/Kang-1. This software showcases different methods for resolving ECDLP with kangaroos.

Hey everyone, just sharing my research on using kangaroo techniques to tackle ECDLP. Check out Part 1.