web3privacy/Web3privacynowplatform/Scoringmodel.md

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# Privacy scoring modelling research
**Approach**
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| Phase | Description |
| ------------- | ------------- |
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| **Expert take** | Outreach privacy experts behind core privacy services - aggregate their professional opinions on how to analyze if a service is truly private or not.) |
| **Scoring model prototyping** | Create an open & flexible scoring model for a communal feedback loop - share with the privacy community, evaluate. |
| **Scoring model MVP release** | Deliver balanced model for privacy services assessment - powered by pros & general public opinions. |
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![alt text](https://github.com/Msiusko/web3privacy/blob/main/Web3privacynowplatform/Staticobjects/Screenshot%202023-02-04%20at%2017.03.45.png?raw=true)
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## On-going community research (survey) within the privacy experts.
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I asked experts behind privacy-services or contributors to the privacy-centric communities to share their visions on how to analyse if a service is private or not. Answers were collected via chats & survey [form](https://forms.gle/ETBEZed9LUUtLWT87)
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**Criterias**:
- min 50 different experts
- broad range of positions: tech, ops, marketing, devrel, strategy
- broad range of services: from privacy coins to mixnets
- different geographies: from the USA to Russia
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# Questions from the privacy experts
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# Take 1
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- does it has untracebility ? (ie addresses is hidden from public ledger)
- does it has unlinkability? (ie transactions can't be linked between each other)
- does amount of transfer is hidden?
- does IP address of participants hidden?
- is it decentralized and based on opensource technology ?
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# Take 2
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| Question | Observation |
| ------------- | ------------- |
| much the users in control of their data disclosure? | (Scale 1-10) |
| how well commnity feedback and evaluation is built into product dev? | the less -» the more centralised it is -» the smaller the % of it staying private without the collectiv intelligence. this is like the web3privacynow - platform part actually, for sales but also i found this really relevant. |
| is there a community bug / security bounty program / platform? | yes, no |
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| how much transparent disclosure is avaliable on the tech and company | ike smart contract audits, security audits,source of financing? |
| how private the tech stack it uses on all layers. from hardware to l3/l4 etc. | how well it is disclosed what they built on and where they host stuff, or if the tech is decentralised like nym - is there avaialbe dashboard data about this? |
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| product roadmap and release flexibiity - this is harder one, and I'm not sure it makes sense. what i mean is its also important to have a clear vision but at the same time to react to current needs / bugs / fixing vulnerabilities. | maybe its redundant with no2 and no2b |
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# Take 3
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1. What are the trust assumptions the user has by using the platform?
2. What and how is user information stored and transmitted?
3. How much PII is it stored/collected?
4. How is information collected + processed + disseminated
5. How completely you can participate with total privacy?
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# Take 4
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| Direction | Observation |
| ------------- | ------------- |
| network privacy | how do you connect to the chain? can you do it via Tor? |
| blockchain privacy | do the resulting on chain transactions offer the user any on chain obfuscation? |
| censorship resistance | how resistant is the project to external pressure. will the project censor you? |
| permission | do I need to create an account to access the thing or is the thing open access? |
| custody of funds | at any point is the user out of control of their own keys? |
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# Categorisation
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## Contents
- [General](#General)
- [Docs](#Docs)
- [Third-party analisys](#Third-party-analisys)
- [VCs](#VCs)
- [Team](#Team)
- [Privacy policy](#Privacy-policy)
- [Token](#Token)
- [Infrastructure](#Infrastructure)
- [Storage](#Storage)
- [Data aggregation](#Data-aggregation)
- [Traction](#Traction)
- [Governance](#Governance)
- [Privacy execution](#Privacy-execution)
- [Product-centric](#Product-centric)
- [Testing](#Testing)
- [Other](#Other)
# General
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- Immutability
- Decentralised throughout, including hosting
- Permissionless & accessible to all
- Open source
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# Docs
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- read the documentation
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- Good and comprehensive documentation
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# Third-party analisys
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- ask about its weaknesses from competitors
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- Number of peer reviewed articles at conferences and journals of team members
- Where's the code, has it been audited
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- Validation by trusted and respected independent scientists and researchers
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# VCs
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- Who are the VCs
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- not funded by big US VCs like a16z
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# Team
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- ideological team
- Reputation of team
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- is it purely marketing oriented or it seems created by researcher/developers, are the developers anons?
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# Privacy policy
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- Privacy Policy content
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- Non-vague, and non-intrusive privacy policy
- #privacy protection policies
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# Token
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- is there a token since the beginning ?
- if token since beginning, weird
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# Infrastructure
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- How much to run a node.
- Where are the nodes
- Number of nodes/servers/ -> the larger the footprint the best privacy
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# Storage
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- e2e encrypted LOCAL storage
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- What user information is stored? (username, IP address, last connectino, wallets associate, etc)
- Where is it stored? (centralized server, certain jurisdictions, on chain, in browser/local cache)
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# Data aggregation
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- no email or tel nr for signup
- control over personal data
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- does not implement kyc or aml
- Metadata privacy / Minimal to no metadata capture
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# Traction
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- Amount of transactions
- number of people using it
- is it famous
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- Time of test and battletested code - (e.g. how BSC had passed the stress time of withdrawals with FTX drama or crypto schemes such as ECDSA with more than 2-3 decades alive)
- Latency
- Cost
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# Governance
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- DAO structure (if applied)
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# Privacy execution
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- How is it being transmited? (encrypted, unencrypted, offuscated, etc)
- Confidentiality of transactions
- ability to hide transactional data from the public
- strong encryption algorithms
- If the speed in connection is too fast most probably there no privacy there and rather a direct channel between user - app
- p2p / no central server
- Reliant on one encryption method or multiple
- Combined those encryption methods effectively (holistic solution)
- Trustless - No ID required (this is where ZK's are useful)
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- Usage of ZK
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# Product-centric
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- Onboarding steps
- Usability - for end users or in the developer experience if it is a B2B project.
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# Testing
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- Ability to run part of the service and verify for myself
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- try to trace a transaction
- There is a way to verify the code I think is running, really is running e.g. attestation service
- Other tooling to verify e.g. block explorers
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# Other
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- Entropy (non-trivial to estimate, different measurements for type of service) some examples: https://arxiv.org/abs/2211.04259 or https://blog.nymtech.net/an-empirical-study-of-privacy-scalability-and-latency-of-nym-mixnet-ff05320fb62d
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- Censorship-resistant (how hard it's for a powerful party to block/censor a given service)
- Precise description of the concrete privacy properties. Privacy is complicated so if they don't say exactly what they protect, then its likely vapor
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- Doesnt sell your data
- protects against global passive adversary
- strong secure anonymity tech
- Credibly neutral
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- ISO/IEC 29190:2015: https://www.iso.org/standard/45269.html
- Anonymity Assessment – A Universal Tool for Measuring Anonymity of Data Sets Under the GDPR with a Special Focus on Smart Robotics: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3971139
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# My personal notes on privacy-scoring (they were made made before communal survey)
_Sketches what could be put inside privacy-solutions scoring model_ (note: think of these as questions to experts for workshop on scoring ideation).
**Open-source transparency**
- **GitHub repos**: # of commits, # stars, date of repo creation.
**Third party validation**
- **Security audits**: yes, no; type of audit; ammount of audits.
**Community validation**
- Existing bugs
- White hackers assesment (like Secret Network TEE bug)
- Negative Discord, Twitter, other public feedback (product & founder-centric)
**Team**
- Market validation
- GitHub contribution
- Track record (incl. red flag projects)
**Financials**
- Investments
- TVL (like Aztec's L2)
- Donation-based
- Public treasury
**Liveliness**
- How active is GitHub activity
- How active is community
- Is there a public product traction?
**Product-readiness**
- State of product-readiness
- MVP-readiness
- Protocol (test-net/main-net)
- dApp (release timing, third party validation like AppStore/Play Store)
- network-reliability (the state of privacy in Ethereum, Solana, Avalanche etc)
**Cross-checked data leakage**
- Complementing privacy stack data leakage (example: phone + dApp; wallet + RPC etc)
- Third party data leakage (from the hackers to state agents (think of Iran or North Korea govs))
**Data aggregation policies**
_Reference_: https://tosdr.org
**Centralisation level (incl KYC)**
Reference: https://kycnot.me/about#scores