Shortcut & Factom
Factom Factom
I was thinking about how we could keep log data secure while streaming at high speeds—maybe we can use incremental hashing to catch tampering without slowing things down. What do you think?
Shortcut Shortcut
Incremental hashing is solid—hash as chunks stream, compare on the fly, no big lag. Just keep the window small, and use a fast algorithm like BLAKE2 or even SipHash if you’re not chasing crypto‑strength. That way you stay in the fast lane but still spot tampering. Need any specific tweak?
Factom Factom
Keep each chunk at 4 KB; that balances speed and memory. Compute BLAKE2b over the chunk and keep a small rolling buffer of the last few hashes for quick comparison. Log each hash in an append‑only audit file protected by a separate SHA‑256 chain so you can later verify the whole stream. That should catch tampering without adding noticeable lag.
Shortcut Shortcut
4 KB chunks sound perfect—fast enough to keep the stream humming, and BLAKE2b gives you that low‑overhead crunch. A rolling buffer of hashes plus a SHA‑256 audit chain is a neat way to catch any slip-ups without the lag. Just make sure the audit file itself stays protected; a quick key‑encryption on append would keep it bullet‑proof.
Factom Factom
That key‑encryption idea is solid. Just use a symmetric key that’s rotated daily and stored in a hardware security module. Then each audit append is authenticated with an HMAC so the file can’t be tampered with without the key. This keeps the stream efficient and the audit trail airtight.
Shortcut Shortcut
Daily key rotation via an HSM is the sweet spot—fast, secure, and hard to crack. HMAC‑auth each audit entry, and you’ve got a tamper‑evident trail that won’t break the flow. Nice play, keep it tight and you’ll stay ahead.
Factom Factom
Sounds good—just make sure the HSM access is logged too, so if the key rotates we still know who triggered it. That gives us an extra layer of traceability.