background gif

Paradigm comparison · Claim classes

Compare security systems

A single matrix compares security paradigms (not vendors) across adversary model, metric, lifespan, replay posture, and secret residue. It shows job fit, not “ENI6MA wins every cell.”

Jump to formal section

~8 min overview · ~5 min formalContinue: Research papers

How to read the matrix

Rows are properties. Columns are security paradigms: schematic classes, not a bake-off of every product. Blue-leaning columns sit on computational hardness clocks. The gold-leaning Channel Zero column is information-theoretic authorization under a stated model: security that does not rely on computers being too slow for the emptiness claim.

Disclaimer: cells are model-scoped. Absolute-sounding Channel Zero rows assume the reference architecture and axioms. This is not “better AES.” It is job fit, which tool matches which threat.

Computational / hardnessITS authorization (model)

Jobs · not trophies · blue=computational · gold=ITS

How to read: columns are paradigms (JWT/TLS, passkey, ZK artifact, PQ-TLS, Channel Zero); rows are jobs and failure modes, not trophy scores. Use the footer legend: blue marks computational hardness bets, gold marks information-theoretic authorization. Takeaway: compare systems by the job they answer, especially ambient secret, replay, and quantum exposure.

Comparison matrix

Accessible caption: five paradigms, seven properties: transport tokens, device possession, succinct computational proofs, PQ tunnels, and empty-channel authorization. Cryptographers: footnotes under each row; symbols in notation.

Security paradigm comparison across JWT, passkeys, ZK artifacts, PQ-TLS, and Channel Zero
PropertyBearer / JWT in TLSWebAuthn / passkeysZero-knowledge (ZK-SNARK) artifactPost-quantum TLS hybridChannel Zero / Rosario
Adversary modelBounded compute (hardness)Bounded + device possessionBounded (proof system assumptions)Bounded (PQ hardness calendar)Info-theoretic on transcript (model)
Primary security metricHardness of forging / stealing tokenHardness + authenticator bindingSoundness / knowledge soundnessHardness under PQ assumptionsMI / unicity (I→0; non-unicity)
Lifespan of guaranteeExpires with crypto / key / token lifeTied to device + credential lifecycleTied to scheme + trusted setup / CRS storyMoves with PQ algorithm agilityHolds while model assumptions hold
Ambient reusable secret?Yes: bearer is capabilityDevice-bound; phishing-resistant UXOften a reusable proof artifact riskSession keys; still transport-scopedNo: one-shot membership work
Replay denialTTL / rotation / server checksOrigin-bound ceremony; not a film replayNullifiers / session binding (varies)Handshake freshness; not auth emptinessτ + nonce burn (P4)
Quantum relevanceHNDL on archived TLS / tokensPlatform crypto migrationDepends on underlying hardnessDirectly addresses Shor calendarSearch bounds if O empty of secret MI
Typical jobTransport + session identityHuman login without passwordsSuccinct computational proofsFuture-proof the tunnelAuthorization without residue
  1. 1. Adversary model. ITS column assumes axioms P1–P4 and reference architecture. Computational columns assume stated hardness and implementation correctness.
  2. 2. Primary security metric. Mutual information and unicity language: see notation. ZK column is schematic, not every SNARK deployment.
  3. 3. Lifespan of guarantee. No column is “forever.” Clocks differ: hardness calendars versus model fidelity.
  4. 4. Ambient reusable secret?. “Ambient” means stealable lasting authority sitting in memory, logs, or wallets.
  5. 5. Replay denial. Channel Zero replay resistance is axiom P4 plus burn-before-validate in deployment.
  6. 6. Quantum relevance. See Quantum myths vs real bounds: PQ transport ≠ authorization emptiness.
  7. 7. Typical job. Job fit: pick the column for the job, not a single winner for all of cryptography.

Metric row in symbols: hardness clocks versus I(·;·) and unicity / anti-unicity.

Two jobs reminder

Transport secrecy keeps strangers’ bytes private under a hardness bargain. Authorization emptiness asks whether the public ceremony leaves secret-relevant residue. Confusing the jobs produces “PQ will fix my stolen API keys” and “Shannon replaces TLS.” Neither is the claim.

Two roads of security · not a stronger lock

Read left-to-right: the computational road treats secrecy as a hardness clock (TLS/PKI-style). The information-theoretic road treats authorization as an empty public channel: recording the transcript does not yield the secret. Takeaway: ENI6MA argues a different job, not a stronger lock on the same road.

See also (full bargain): Today's crypto: a bet on hard math.

Where ENI6MA claims superiority

Categorical only for information-theoretic authorization versus computational possession-auth that leaves ambient reusable secrets, never “better AES,” never “wins all crypto.” Channel Zero / Rosario cells that sound absolute are model-scoped; see Claims for affirmative claim classes.

Homepage / Fundamentals mirrors

Non-Math readers meet the same fork earlier: Technology overview Zone A (ITS vs computational) and the proof taxonomy on Why not all proofs are equal. Quantum vs emptiness for the hardness calendar lives on Quantum myths vs real bounds. PQ tunnel coexistence ships under Solutions.

Formal reading of the matrix

The ITS column is model-scoped: empty-channel claims target zero conditional mutual information and anti-unicity under axioms P1–P4. Computational columns remain hardness clocks. Job fit is the point, not trophies.

Matrix row for empty-channel authorization

Read as: Given the public challenge, the observable transcript carries no mutual information about the hidden state.

Arguments

X
: secret or private ceremony state being protected
O
: observable transcript available to the verifier or attacker
C
: challenge context that scopes the observation

Operators

I
: mutual information used to measure effective leakage
\mid
: conditioning on the public challenge
= 0
: zero effective leakage in the model-scoped ITS column

Significance: This is the formal axis that distinguishes the Channel Zero row from possession credentials, ZK artifacts, and PQ transport.

Computational contrast: JWT/TLS, passkeys, ZK systems, and PQ-TLS remain evaluated through possession, verification artifacts, or hardness calendars; this row asks whether the transcript leaks at all.

References:Channel ZeroComputational bargainProof taxonomy

Notation: glossary. Taxonomy: Why not all proofs are equal. Scope: Claims.