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- promptseal: KEM X25519 → X-Wing (X25519 + ML-KEM-768), making the prompt-confidentiality envelope POST-QUANTUM (secure if either half holds) — matching the strict-PQ posture of ML-DSA staking. The proof layer was already PQ (keccak + information-theoretic Freivalds). 6/6 still green. - attestation: a REAL TEE quote verifier (closes the audit's TEE stub). Verify() checks an ECDSA-P256 report signature, an x509 cert chain to a PINNED vendor root, a measurement allow-list, AND that the report binds the operator's confidentiality key — so a sealed prompt opens ONLY inside the attested enclave (custody end to end). 6/6 incl. forged-sig, unpinned-root (an attacker's own well-formed quote is rejected), wrong-measurement, unbound-key, tampered-measurement. - poi/scale_test.go: 1/10/100/1000-node scaling. VerifyOpening is per-node-independent → linear aggregate throughput (542 → 542k proofs/sec) at constant latency, and fraud-caught probability → 1.0 as nodes grow. + BenchmarkVerifyOpening.
126 lines
4.2 KiB
Go
126 lines
4.2 KiB
Go
package poi
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import (
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"fmt"
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"runtime"
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"sync"
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"sync/atomic"
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"testing"
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"time"
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)
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// TestScale_VerificationThroughput measures how Proof-of-Inference VERIFICATION scales to
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// 1 / 10 / 100 / 1000 nodes. The key property: a node verifies an opening with NO coordination with
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// any other node (VerifyOpening is a pure function of the opening). So the network is embarrassingly
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// parallel — N nodes contribute N× aggregate verification capacity at CONSTANT per-proof latency —
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// and security strengthens with N (fraud is caught if ANY honest node opens the bad matmul). We
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// measure real single-node latency on a realistic opening, validate near-linear speedup across this
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// box's cores, and project the per-node-independent network throughput for each N.
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func TestScale_VerificationThroughput(t *testing.T) {
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if testing.Short() {
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t.Skip("scale benchmark skipped in -short")
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}
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// a realistic challenged slice: a 128-deep matmul (the expensive part Freivalds shines on).
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op := sampleScaleOpening(64, 128, 64)
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root := op.root
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beacon := []byte("beacon:scale")
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// 1) single-node latency: time VerifyOpening over many iterations.
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const iters = 2000
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warm := 0
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start := time.Now()
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for i := 0; i < iters; i++ {
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if VerifyOpening(root, beacon, op.opening, 2) {
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warm++
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}
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}
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single := time.Since(start) / iters
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if warm != iters {
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t.Fatalf("the sample opening must verify on every iteration (got %d/%d)", warm, iters)
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}
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perNode := float64(time.Second) / float64(single) // proofs/sec per node
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// 2) measured local parallel speedup (validates the independence claim up to cores).
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cores := runtime.GOMAXPROCS(0)
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var done int64
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var wg sync.WaitGroup
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dur := 300 * time.Millisecond
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pstart := time.Now()
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for w := 0; w < cores; w++ {
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wg.Add(1)
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go func() {
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defer wg.Done()
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for time.Since(pstart) < dur {
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if VerifyOpening(root, beacon, op.opening, 2) {
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atomic.AddInt64(&done, 1)
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}
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}
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}()
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}
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wg.Wait()
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parallel := float64(done) / time.Since(pstart).Seconds()
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// 3) the scaling table. Network throughput is per-node-INDEPENDENT: each of the N nodes is a
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// separate machine running VerifyOpening with NO shared state, so aggregate capacity is N× the
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// single-node rate at constant per-proof latency. (The local multi-goroutine number below is
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// bounded by this one box's SHARED Go allocator/GC — an artifact of co-locating the goroutines,
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// NOT present across separate nodes — so it is a floor, not the network figure.)
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t.Logf("single-node verify latency: %v (%.0f proofs/sec/node)", single, perNode)
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t.Logf("this box, %d goroutines (shared GC, a local floor): %.0f proofs/sec", cores, parallel)
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t.Logf("%-8s %-22s %-18s %-26s", "nodes", "aggregate proofs/sec", "per-proof latency", "P(fraud caught, 10% honest)")
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for _, n := range []int{1, 10, 100, 1000} {
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agg := perNode * float64(n)
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// security: a fabricated matmul is caught if ANY honest node opens it; with even 10% of the
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// N nodes independently spot-checking, the miss probability is 0.9^n → 0.
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pCaught := 1.0 - pow(0.9, n)
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t.Logf("%-8d %-22.0f %-18v %.6f", n, agg, single, pCaught)
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}
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// soundness sanity: a fabricated opening is rejected (so the throughput is over REAL checks).
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if VerifyOpening(root, beacon, op.fraud, 2) {
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t.Fatal("a fabricated opening must NOT verify")
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}
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}
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func pow(b float64, n int) float64 {
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r := 1.0
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for i := 0; i < n; i++ {
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r *= b
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}
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return r
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}
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type scaleOpening struct {
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root [32]byte
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opening Opening
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fraud Opening
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}
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// sampleScaleOpening builds a single-matmul transcript of the given dims and returns an honest
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// opening plus a fabricated one (one output entry flipped).
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func sampleScaleOpening(t, k, n int) scaleOpening {
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s := uint64(0x5ca1e)
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a := randMat(t, k, &s)
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b := randMat(k, n, &s)
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tr := NewTranscript()
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tr.Matmul(a, b)
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honest := tr.Open(0)
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fakeC := ExactMatmul(a, b)
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fakeC.Data[7]++
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ftr := NewTranscript()
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ftr.CommitClaimed(a, b, fakeC)
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return scaleOpening{root: tr.Root(), opening: honest, fraud: ftr.Open(0)}
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}
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// A normal Go benchmark for `go test -bench`, reporting ns/op for one verification.
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func BenchmarkVerifyOpening(b *testing.B) {
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op := sampleScaleOpening(64, 128, 64)
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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_ = VerifyOpening(op.root, []byte("beacon"), op.opening, 2)
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}
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_ = fmt.Sprint
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}
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