ARXIV:2603.18836 · CONFIDENTIAL COMPUTING · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Confidential Databases Without Cryptographic Mappings

Wenxuan Huang · Zhanbo Wang · Mingyu Li · arXiv

FEDB offers a novel confidential database design that drastically reduces performance overhead by removing cryptographic operations from the critical path, enabling faster and more efficient secure queries in untrusted cloud…

Ship in 2-4 weeks›Score7.0Evidence unverified

Opportunity summary

Pain FEDB offers a novel confidential database design that drastically reduces performance overhead by removing cryptographic operations from the critical path, enabling faster and more efficient secure queries in untrusted cloud environments.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

Confidential databases (CDBs) are essential for enabling secure queries over sensitive data in untrusted cloud environments using confidential computing hardware. While adoption is growing, widespread deployment is hindered by high performance overhead from frequent synchronous cryptographic operations, which causes significant computational and memory bottlenecks. We present FEDB, a novel CDB design that removes cryptographic operations from the critical path. FEDB leverages crypto-free mappings, which maintain data-independent identifiers within the database while securely mapping them to plaintext secrets in a trusted domain. This paradigm shift reduces the runtime overhead by up to 78.0 times on industry-standard benchmarks including TPC-C and TPC-H.

RESULT

ScienceToStartup currently rates this 7.0/10 on the public viability pass. This paradigm shift reduces the runtime overhead by up to 78.0 times on industry-standard benchmarks including TPC-C and TPC-H. Code availability is flagged in…

WHY NOW

Confidential Computing moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score7.0

PainFEDB offers a novel confidential database design that drastically reduces performance overhead by removing cryptographic operations from the critical path, enabling faster and more efficient secure queries in untrusted cloud environments.

Evidence0 refs | 0 sources | 17% coverage

Blockerno shell-level blocker reported

Analysis summary

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

ARXIV:2603.18836 · CONFIDENTIAL COMPUTING · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Confidential Databases Without Cryptographic Mappings

Wenxuan Huang · Zhanbo Wang · Mingyu Li · arXiv

Ship in 2-4 weeks›Score7.0Evidence unverified

Opportunity summary

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

RESULT

WHY NOW

Confidential Computing moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score7.0

PainFEDB offers a novel confidential database design that drastically reduces performance overhead by removing cryptographic operations from the critical path, enabling faster and more efficient secure queries in untrusted cloud environments.

Evidence0 refs | 0 sources | 17% coverage

Blockerno shell-level blocker reported

Analysis summary

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Paper Pack

10.48550/arXiv.2603.18836

Confidential Databases Without Cryptographic Mappings

Abstract

Source availability

PDF linked

The paper record includes a public PDF URL.

Extraction status

Derived fallback

Read summaries are estimated from adjacent metadata, not verified extraction rows.

Proof status

unverified

0 refs; 0 sources; 17% coverage.

What was readable

linkedon filenot materializedderived fallback55 indexednot indexed

Derived fallback: Estimated from adjacent evidence; not verified from source.

Viability

7.0

Time to MVP

MVP estimate missing

Commercial

code

Export

Preparing verified analysis

lens / founder

PROBLEM

METHOD

RESULT

WHY NOW

Confidential Computing moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.

Claim map

Abstract-backed public claims while anchored extraction refreshes.

Strong 0Mixed 0Weak 4

Evidencepartial
FEDB offers a novel confidential database design that drastically reduces performance overhead by removing cryptographic operations from the critical path, enabling faster and more efficient secure queries in untrusted cloud environments. While adoption is growing, widespread deployment is hindered by high performance overhead from frequent synchronous cryptographic operations, which causes significant computational and memory bottlenecks.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Confidential databases (CDBs) are essential for enabling secure queries over sensitive data in untrusted cloud environments using confidential computing hardware. While adoption is growing, widespread deployment is hindered by high performance overhead from frequent synchronous cryptographic operations, which causes significant computational and memory bottlenecks.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
ScienceToStartup currently rates this 7.0/10 on the public viability pass. This paradigm shift reduces the runtime overhead by up to 78.0 times on industry-standard benchmarks including TPC-C and TPC-H. Code availability is flagged in the production record; the public repository link still needs proof alignment.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Confidential Computing moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial

Constellation map

Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.

Open full Signal Canvas

Concepts

not indexed

Methods

Materials

PDF linked

Markets

Confidential Computing

Competitors

not indexed

Competitive landscape

Segment

Confidential Computing

Adoption evidence

No public code link in the paper record yet

Commercial read

7.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Buzz

No indexed public discussion is attached to 2603.18836 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.

Hacker News

Not indexed yet

Bluesky

Not indexed yet

PDF

Preview the source document here, or use the hero PDF action for a new tab.

References(55)

Rollbaccine : Herd Immunity against Storage Rollback Attacks in TEEs [Technical Report]

2025D. Chu, A. Balasubramanian et al.

Secure Data Analytics in Apache Spark with Fine-grained Policy Enforcement and Isolated Execution

2025Byeongwook Kim, Jaewon Hur et al.

Engorgio: An Arbitrary-Precision Unbounded-Size Hybrid Encrypted Database via Quantized Fully Homomorphic Encryption

2025Song Bian, Haowen Pan et al.

ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption

2024Zhou Zhang, Song Bian et al.

SecuDB: An In-enclave Privacy-preserving and Tamper-resistant Relational Database

2024Xinying Yang, Cong Yue et al.

Sharing is leaking: blocking transient-execution attacks with core-gapped confidential VMs

2024Charly Castes, Andrew Baumann

Compass: Encrypted Semantic Search with High Accuracy

2024Jinhao Zhu, Liana Patel et al.

HE3DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption

2023S. Bian

Encrypted Databases Made Secure Yet Maintainable

2023Mingyu Li, Xuyang Zhao et al.

Nimble: Rollback Protection for Confidential Cloud Services (extended version)

2023Sebastian Angel, Aditya Basu et al.

Core slicing: closing the gap between leaky confidential VMs and bare-metal cloud

2023Ziqiao Zhou, Yizhou Shan et al.

Operon: An Encrypted Database for Ownership-Preserving Data Management

2022Sheng Wang, Yiran Li et al.

Design and Verification of the Arm Confidential Compute Architecture

2022Xupeng Li, Xuheng Li et al.

HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database

2022Xuanle Ren, Le Su et al.

TwinVisor: Hardware-isolated Confidential Virtual Machines for ARM

2021Ding Li, Zeyu Mi et al.

Confidential computing for OpenPOWER

2021G. Hunt, Ram Pai et al.

rkt-io: a direct I/O stack for shielded execution

2021Jörg Thalheim, Harshavardhan Unnibhavi et al.

Full Encryption: An end to end encryption mechanism in GaussDB

2021Liang Guo, Jinwei Zhu et al.

Scalable Memory Protection in the PENGLAI Enclave

2021Erhu Feng, X. Lu et al.

Hints and Principles for Computer System Design

2020B. Lampson

Showing 20 of 55 references

CITED BY

No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.

Foundation

Prior WorkFederated Computing as Code (FCaC): Sovereignty-aware Systems by Design

7.0

Prior WorkPost-quantum Federated Learning: Secure And Scalable Threat Intelligence For Collaborative Cyber Defense

7.0

Prior WorkEPDQ: Efficient and Privacy-Preserving Exact Distance Query on Encrypted Graphs

7.0

Prior WorkKey-Embedded Privacy for Decentralized AI in Biomedical Omics

7.0

Extension

Builds On ThisLightweight, Practical Encrypted Face Recognition with GPU Support

4.0

Builds On ThisWhen Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI

3.0

Builds On ThisScalable Secure Biometric Authentication without Auxiliary Identifiers

4.0

Builds On ThisRandomized Distributed Function Computation (RDFC): Ultra-Efficient Semantic Communication Applications to Privacy

2.0

Builds On ThisTrustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces

0.0

Commercially relevant

none indexed

Conflicting

Competing ApproachHardening Confidential Federated Compute against Side-channel Attacks

3.0

Owned Distribution

Subscribe to the weekly brief

Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.

Agent drawer

5 surfaces preserved for agents. Humans can ignore.

Developer contracts, payload previews, evidence maps, and run controls stay here instead of the Read, Build, and Track workspace.

Run context

Paper: 2603.18836
Route: /paper/confidential-databases-without-cryptographic-mappings
Active tab: read
Artifact: confidential-databases-without-cryptographic-mappings

Available agents

Read extractor
Build planner
Track monitor
Competitive mapper
Related-paper scout

API/MCP endpoints

REST paper pack API/api/v1/paper/confidential-databases-without-cryptographic-mappings/paper-pack
REST build passport API/api/v1/paper/confidential-databases-without-cryptographic-mappings/build-passport
REST OpenAPI/api/openapi.json
MCP descriptor/api/mcp
MCP resourcesciencetostartup://surfaces/paper-workspace

Tool contracts

paper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state

Payload preview

Inspect payload

{
  "contract_version": "paper-r2",
  "paper_id": "76e039d3-5b62-40db-8e32-aa38a165fc9a",
  "arxiv_id": "2603.18836",
  "canonical_route": "/paper/confidential-databases-without-cryptographic-mappings",
  "active_tab": "synced from current hash by the drawer client",
  "selected_artifact": "confidential-databases-without-cryptographic-mappings",
  "endpoints": {
    "paper_pack": "/api/v1/paper/confidential-databases-without-cryptographic-mappings/paper-pack",
    "build_passport": "/api/v1/paper/confidential-databases-without-cryptographic-mappings/build-passport",
    "mcp_resource": "sciencetostartup://surfaces/paper-workspace"
  }
}

Schema validation

paper-r2 contract: present
JSON-LD twin: SSR emitted
OpenAPI path parity: /api/openapi.json
MCP resource parity: paper-workspace

Job trace

queued: drawer opened by user action
running: inspect or copy payload
succeeded: payload available in SSR
failed: route errors appear in evidence cards

Evidence map

sources used: page freshness, source proof anchors, JSON-LD
missing sources: exposed by PaperPack and EvidenceState chips
derived fallbacks: marked unverified before handoff

Page Freshness

Canonical route, proof status, last verified, refs, sources, and coverage.

Page Freshness

Paper proof surface

Canonical route: /paper/confidential-databases-without-cryptographic-mappings

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

OpenAlex: pending — this preprint is not yet indexed by OpenAlex.

Agent Handoff

Endpoint list, payload shape, route context, and copyable handoff data.

Agent Handoff

Confidential Databases Without Cryptographic Mappings

Canonical ID confidential-databases-without-cryptographic-mappings | Route /paper/confidential-databases-without-cryptographic-mappings

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/confidential-databases-without-cryptographic-mappings

MCP example

{
  "tool": "get_paper",
  "arguments": {
    "arxiv_id": "2603.18836"
  }
}

source_context

{
  "surface": "paper",
  "mode": "paper",
  "query": "Confidential Databases Without Cryptographic Mappings",
  "normalized_query": "2603.18836",
  "route": "/paper/confidential-databases-without-cryptographic-mappings",
  "paper_ref": "confidential-databases-without-cryptographic-mappings",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Buildability Receipt

Verdict, compute envelope, blockers, signature state, and receipt links.

Paper proof page receipt window

Watch and verify: Confidential Databases Without Cryptographic Mappings

/buildability/confidential-databases-without-cryptographic-mappings

Watchwatch

Subject: Confidential Databases Without Cryptographic Mappings

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/confidential-databases-without-cryptographic-mappings

Paper ref

confidential-databases-without-cryptographic-mappings

arXiv id

2603.18836

Freshness

Generated at

2026-04-02T02:30:40.136Z

Evidence freshness

stale

Last verification

2026-04-02T02:30:40.136Z

Sources

References

Coverage

17%

Hash state

Lineage hash

cfa25a996ec2fefa5145f3313f9ee6da0c8f0070b704ecaec0fc04f32a0ba4b7

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

Missing: repo_url
Missing: references
Missing: proof_status
Missing: distribution_readiness_scores
Missing: paper_extraction_scorecards
Unknown: distribution readiness has not been computed yet
Unknown: proof verification has not been recorded yet

Verification pending / evidence receipt incomplete

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Open receipt API receipt Build Loop Signal Canvas Proof divergence Divergence API Brier outcomes API

Source Proof anchors

Visual citations from the paper document graph.

JSON-LD twin

The application/ld+json payload rendered for agents.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebPage",
      "@id": "https://sciencetostartup.com/paper/confidential-databases-without-cryptographic-mappings#webpage",
      "url": "https://sciencetostartup.com/paper/confidential-databases-without-cryptographic-mappings",
      "name": "Confidential Databases Without Cryptographic Mappings",
      "description": "FEDB offers a novel confidential database design that drastically reduces performance overhead by removing cryptographic operations from the critical path, enabling faster and more efficient secure queries in untrusted cloud environments.",
      "isPartOf": {
        "@id": "https://sciencetostartup.com/#website"
      }
    },
    {
      "@type": "ScholarlyArticle",
      "@id": "https://sciencetostartup.com/paper/confidential-databases-without-cryptographic-mappings#scholarlyArticle",
      "headline": "Confidential Databases Without Cryptographic Mappings",
      "description": "FEDB offers a novel confidential database design that drastically reduces performance overhead by removing cryptographic operations from the critical path, enabling faster and more efficient secure queries in untrusted cloud environments.",
      "url": "https://sciencetostartup.com/paper/confidential-databases-without-cryptographic-mappings",
      "sameAs": "https://arxiv.org/abs/2603.18836",
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "arXiv",
        "value": "2603.18836"
      },
      "isAccessibleForFree": true,
      "isPartOf": {
        "@id": "https://sciencetostartup.com/#website"
      },
      "datePublished": "2026-03-19T12:37:35.000Z",
      "author": [
        {
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        {
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        {
          "@type": "Person",
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      ],
      "citation": [
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        {
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        {
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        {
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      ],
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "propertyID": "viabilityScore",
          "value": 7
        },
        {
          "@type": "PropertyValue",
          "propertyID": "researchDomain",
          "value": "Confidential Computing"
        },
        {
          "@type": "PropertyValue",
          "propertyID": "commercialReadiness",
          "value": "code"
        }
      ]
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://sciencetostartup.com"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Confidential Computing",
          "item": "https://sciencetostartup.com/topics"
        },
        {
          "@type": "ListItem",
          "position": 3,
          "name": "Confidential Databases Without Cryptographic Mappings",
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Confidential Databases Without Cryptographic Mappings

Confidential Databases Without Cryptographic Mappings

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