Technical evaluation · for CDN audit / telco SLA / ad-fraud / DRM compliance

ABR-grade telemetry that insurers, regulators, and ad buyers can verify.

For CDN operators, telco / ISP regulatory teams, ad-tech verification engineers, and DRM compliance leads evaluating tamper-evident streaming session logs. The streaming industry's ABR problem is largely solved — harmonic-mean rate predictors are within a few percent of optimal. The unsolved problem is session integrity : settlement disputes between platforms and CDN edge, unfalsifiable ISP-throttling claims, ad-view fraud detection, and DRM downgrade-attack forensics all run on player-reported telemetry today — trivially forgeable. We treat the network path as a medium, project throughput samples onto a modal basis, and seal the resulting M t state each chunk into a transition hash chain bound to a PUF-derived key on the edge appliance. Result: QoE identical to the rate-based baseline (no performance tax), plus a chain-anchored session record that downstream parties can verify without trusting the player. All numbers below come from a reproducible 50-trace Python simulation.

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§0 · Reader's note — what is and is not claimed

Two independent value props on this page. (1) is deliberately neutral.

(1) ABR predictor (§3). Receiver B's modal + verified-prior predictor lands within 5% of the harmonic-mean baseline on every QoE metric — by design. This is the unusual demo on this site where (1) is not the value proposition. ABR is a solved problem (Pensieve / BOLA / ELASTIC / MPC), and we are not claiming a marginal improvement. The point of (1) is to demonstrate that the chain primitive in (2) does not impose a QoE tax — the modal predictor matches harmonic-mean while producing a sealable, chain-anchored decision trace.

(2) Tamper-evident session log (§5 – §6). This is the entire value proposition. Every chunk decision (predicted bandwidth + chosen bitrate + buffer + delivery time) is HMAC-signed by an FPGA-resident PUF key and chained, then embedded in DASH MPD EventStream / HLS EXT-X-DATERANGE / CMCD user-fields. CDN settlement, ad-fraud forensics, DRM downgrade-attack detection, and ISP throttling claims all become independently verifiable offline by non-trusting parties (XC4). This is the licensable portfolio asset.

The page intentionally does not claim ABR superiority. A reader who only cares about ABR QoE will find no story here. The audience is anyone whose business depends on verifiable streaming session records — CDN settlement, ad-tech, DRM compliance, ISP regulatory — not on better video quality.

⚡ Signal / Data Restoration

Bursty TCP throughput samples → underlying available bandwidth recovered.

Patent core claim: "recover original modal information from broken received signal via medium forward model + integrity-anchored prior" . Raw TCP throughput readings are extremely noisy — head-of-line blocking, ACK clocking, queueing-delay variability, and handover drops all inject short-time-scale noise that disconnects single samples from the underlying path capacity. The modal forward model decomposes the throughput history into persistent rate, slow drift, RTT-scale mode, and congestion mode, anchored to the chain-verified prior — recovering the actionable bandwidth signal for the next chunk decision.

§1 · For streaming / CDN / ad-tech engineering

QoE is settled. Session integrity is not.

Twenty years of ABR research (Pensieve, BOLA, ELASTIC, MPC) have converged: rate-based predictors are within a few percent of theoretical optimal for typical 4G/5G traces. The remaining problem isn't bandwidth prediction — it's session integrity . There is no tamper-evident record of what the player actually delivered. Which means: ad-fraud detection runs on player-reported telemetry (trivially forgeable); DRM enforcement can't prove a session wasn't downgraded offline; CDN settlement disputes have no shared ground truth; ISP throttling claims are unfalsifiable.

The technical extension fixes this without disrupting the ABR pipeline. Each chunk decision M t (predicted bandwidth + chosen bitrate + buffer state + actual delivery time) is sealed by the FPGA-resident PUF-derived key (XC7) and embedded into the DASH MPD EventStream or HLS EXT-X-DATERANGE tag (XC5). Existing players, CDN nodes, ad servers, and DRM systems pass it through unmodified. XC2 cascade tamper invalidation means any retroactive edit to a past chunk fails every downstream link's verification — auditor learns exactly when the edit occurred. XC4 multi-party offline verifier lets the platform, the ad buyer, the DRM partner, and the ISP each verify independently without trusting the player or each other.

§2 · Setup · reproducible 4G-trace pipeline

50 synthesized 4G-like traces, two predictors, same ABR rule.

Two ABR pipelines differ only in how they predict next-chunk bandwidth — the bitrate-selection rule, buffer thresholds, encoding ladder, and QoE weights are identical. This isolates the effect of bandwidth prediction quality (and the chain-sealing overhead). Traces synthesized to match published 4G statistics from the HSDPA Pensieve-style trace distribution (lognormal noise + slow sinusoidal drift + frequent handover drops). Reproducible — same seeds, same parameters, same numbers.

Trace distribution

50 × 300 s, HSDPA-style (lognormal σ=0.55) + sinusoidal drift + 5–8 handover drops + 3–6 spikes

Bitrate ladder

0.3 / 0.7 / 1.2 / 2.4 / 4.8 / 9.6 Mbps (HLS-like)

Chunk size

4 s

Buffer

Init 8 s · target 30 s · max 60 s

Predictor A (baseline)

Harmonic mean of last 5 chunks (DASH-IF reference player default)

Predictor B (modal + sealed prior)

Harmonic baseline + 6-coefficient modal drift correction + XC1 chain-anchored prior (α = 0.15)

QoE weights (Pensieve-style)

λ rebuf = 4.3 · λ switch = 1.0 · utility = log(bitrate / min_bitrate)

Sealing rate

1 chain link per chunk (4 s) · entire 300 s session = 75 sealed links

PUF / Quorum

XC9 — N=5 odd-N quorum, K=3 threshold, LKG rollback

Industry-standard embed

DASH MPD EventStream OR HLS EXT-X-DATERANGE OR CMCD custom field — player firmware unmodified (XC5)

§3 · Results · 50-trace ensemble

Comparable QoE. Cryptographic session integrity for free.

The two predictors land within 5% on every metric. This is by design — beating harmonic-mean rate-based ABR on QoE alone is a marginal game (every paper in the field claims 10–25% under specific conditions, less in general). The point is not to argue Receiver B wins on pure ABR. The point is that Receiver B's session is end-to-end cryptographically verifiable for comparable QoE cost — which is what ad-tech, DRM, and SLA settlement actually need.

Metric

Receiver A — harmonic mean

Receiver B — modal + sealed prior

Average bitrate

2.82 Mbps

Rebuffer ratio

0.05%

Switches / chunk

0.28

QoE score

1.66

0.0%

Tamper-evident session log

Multi-party offline verify

Fig. 1 — Single trace (seed 2 of 50). Raw TCP samples (blue, faint) bounce 2–4× between adjacent seconds. Receiver A's harmonic mean (dark blue dots) tracks the noise. Receiver B's modal + sealed-prior (red squares) supplies a steadier estimate that's the same record going into the chain.

Fig. 2 — Ensemble averages over 50 traces. Both predictors deliver near-identical QoE. The unique value is what Receiver B adds beyond these numbers.

Fig. 3 — Bitrate selection over a single 300 s session. Decisions track each other within one ladder step; both respect the buffer-safety floor.

Numbers from running the published Python pipeline on 50 synthesized HSDPA-like traces, fixed seeds 0–49. The point is not the QoE delta — it is the chain-integrity primitive that adds session forensic verifiability with comparable QoE cost.

§4 · What M t is on the network path

Per-chunk session state as a sealed modal vector.

Each chunk's M t captures: persistent throughput (c 1 ), slow drift (c 2 ), mid-period mode (c 3 ), RTT-scale mode (c 4 ), congestion-mode variance (c 5 ), residual (c 6 ), plus the discrete chunk outcome — chosen bitrate, buffer level, observed download time. The 6-vector + outcome triplet is what gets sealed each 4 seconds (~75 sealed links per 5-minute session) — not the per-sample throughput trace.

§5 · Sealed session history

The forensic record streaming has always needed.

Each chunk's M t is signed by the FPGA-resident PUF-derived key (XC7 — hardware HMAC with monotonic 64-bit metering counter) and concatenated into the previous link's hash. Any retroactive edit to a past chunk (e.g., an ad-fraud rewrite, a piracy session replay, a downgrade attempt) invalidates every downstream link (XC2 cascade tamper invalidation). The chain is embedded into the DASH MPD EventStream / HLS EXT-X-DATERANGE tag / CMCD custom field (XC5 industry-standard embed) so existing players, CDN edge caches, and DRM systems pass it through unmodified — the legacy infrastructure does not know it is now tamper-evident.

Fig. 4 — 8 chain links over the first 32 s of a session, with a 1-bit retroactive edit at chunk 3 (simulating an ad-fraud rewrite). XC2 cascade tamper invalidation: every downstream chunk's verifier fails. Auditor sees exactly when the edit occurred.

§6 · Patent claim map

Cross-domain claims + streaming-specific singletons.

Claim

What it does

Where it appears here

XC1

Verified-prior recursive smoother

§3 — Receiver B's α=0.15 anchoring to last sealed bandwidth estimate

XC2

Cascade tamper invalidation

§5 — one bit flip in any past chunk = all downstream chains fail

XC3

Canonical serialization

§4 — 6-coefficient float32 vector + chunk outcome triplet, big-endian timestamp

XC4

Multi-party offline verifier

Platform + ad buyer + DRM partner + ISP each verify independently

XC5

Industry-standard format embed

§5 — DASH MPD EventStream / HLS EXT-X-DATERANGE / CMCD user-field

XC7

FPGA HW HMAC + metering counter

§5 — sealing engine + replay defence (per-session view metering)

XC8

Sidecar retrofit appliance

Tap player telemetry + CDN log read-only — no app firmware change, no DRM cert risk

XC9

Fault-tolerant odd-N PUF quorum

10-year edge / device lifetime — sealing chip ageing defeated by N=5 redundancy

§7 · Reproducibility

Run it on your own traces.

The Python pipeline (load trace → harmonic predict vs modal predict → bitrate select → buffer simulate → chain seal) is provided under NDA to evaluation partners. The same forward-model + chain primitive applies to any streaming protocol: DASH, HLS, CMAF, LL-HLS, WebRTC. Bring your own real player traces (CMCD report, BIF, vendor telemetry export) and the same numerical table falls out within fixed-seed reproducibility.

§8 · Honest limitations

What this page does not show.

50 synthesized HSDPA-like traces. Not real CDN edge / player telemetry across geography, time, device class, codec ladder, or content type. The distribution matches published 4G statistics but is generated, not captured. A pilot with the platform's real CMCD report + BIF / DASH-IF telemetry export is the right validation.

No real adversarial pentest. Ad-fraud rewrite, DRM downgrade, CDN settlement manipulation, and live-sports piracy are theorised attack vectors that the chain blocks structurally (XC2 cascade invalidation, XC4 multi-party verification). A red-team / pen-test against a real player + CDN-edge chain is the assurance evidence licensees will ask for.

Player-side instrumentation is hand-waved. The chain in §5 assumes the chunk-decision tuple is produced by the player binary itself (otherwise the chain attests CDN data, not player behaviour). Real deployment requires either a hardware-attested player runtime, a TEE-resident decision engine, or a trusted-CDN model where the edge produces the chain. Which one is feasible per business model is an integration question, not a primitive question.

Mobile handover simplified. Real cellular handover involves layer-2 RAT switching, MPTCP failover, dual-connectivity (EN-DC), and operator policy — captured here as ~5–8 drops per 300 s with a parametric distribution. Real per-network handover patterns vary substantially by operator and band.

No DRM / CAS / forensic-watermarking integration. The chain attests the session decision ; it does not encrypt content, identify users, or substitute for forensic watermarking. DRM (Widevine / FairPlay / PlayReady) integration is a separate layered primitive.

QoE tie is the deliberate claim. The §3 table showing Δ=0 across bitrate / rebuffer / switches / QoE is by design . Anyone who reads the table expecting an ABR-win is reading the wrong page — see §0. A reader who wants Pensieve / MPC bake-off numbers will not find them here.

No real hardware integration. FPGA / PUF chain is software-emulated against the same key constant the F2 FPGA uses. Edge-appliance deployment target is a CDN-edge FPGA, or a device-side TEE that holds the equivalent of the PUF root.

This page is an evaluation surface for licensing discussions with parties whose business depends on verifiable streaming session records — not better ABR. Primary targets: CDN operators (Akamai, Cloudflare, Fastly, AWS CloudFront) for settlement-dispute ground truth; telco / ISP regulatory teams (SKT, KT, LG U+, Verizon, AT&T) for net-neutrality / SLA enforcement; ad-tech verification (DV, IAS, MOAT, Trade Desk) for ad-view forensics; and DRM compliance teams (Widevine, FairPlay, PlayReady) for downgrade-attack and live-sports piracy forensics. Streaming platforms (Google/YouTube, Netflix, Disney+) are net IP owners — engagement is cross-licensing, not royalty. Contact via the IP licensing channel on the main showcase page .