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Are you securing the hashes of every frame?

In Short

Yes. SWEAR secures authenticity at the source by creating proof-of-original as video is captured. Each frame is hashed, summary hashes are generated using the camera's group-of-pictures (GOP) structure, and that proof data is anchored to a permissioned, tamper-evident blockchain ledger.

At playback, SWEAR validates the video against its original proof and returns a deterministic result (authentic or altered). This design helps security, media, and enterprise teams confirm trust quickly, detect even small edits, and preserve verifiability across copies and transcodes when underlying content remains unchanged.

Explanation

SWEAR hashes every frame of a video and creates summary hashes based on the camera's group-of-pictures (GOP) settings. Those hashes are protected through a permissioned blockchain ledger, then used later to verify whether the played-back content still matches the original capture.

What SWEAR Secures

  • Frame-level integrity: Every frame contributes to a cryptographic proof so even small visual changes are detectable.
  • GOP-level detection: Summary hashes map to GOP boundaries, so if one frame changes, the affected GOP is flagged as modified.
  • Capture-time authenticity: Proof is created at capture, not guessed afterward.

How It Works

  1. Capture: SWEAR creates proof-of-original data as video is recorded.
  2. Hashing and summarization: Frame hashes are generated and grouped into GOP-based summary hashes.
  3. Anchoring: Proof data is anchored to a permissioned, tamper-evident blockchain ledger for auditability and long-term verification.
  4. Validation at playback: SWEAR compares the presented file to its original proof and returns a clear authenticity result.

Why This Matters

  • Deterministic verification: Instead of estimating likelihood, SWEAR validates whether content matches its original cryptographic proof.
  • Tamper evidence: If someone edits even a single frame, the hash chain no longer matches and SWEAR surfaces the mismatch.
  • Built for real workflows: Proof remains verifiable across normal copying/transcoding workflows as long as the underlying content structure is unchanged.
  • No reliance on visible marks: SWEAR proof data is external to the media itself, which supports resilient verification even when files are redistributed.

In practical terms, this approach answers the core trust question: not "does this look suspicious," but "does this match the original captured content?" For teams using SWEAR Security and SWEAR Mobile, that means faster confidence decisions, stronger evidence integrity, and an auditable chain of authenticity over time.