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DISCIPLINA logo
BSC

DISCIPLINA

$DSCPL

MODERATEENDED
69.2% Complete

Presale Rate

0.035 /USD

Market Cap

—

Total Raised

$350.00K

24h Volume

—

Participants

875

Trending

29

Risk Analysis

Risk Score50/100
Trust Score62/100

This presale has been analyzed using our AI-powered fraud detection system. The risk and trust scores are calculated based on multiple factors including smart contract analysis, team verification, social sentiment, and historical data.

Verification & Security

KYC Verification
Not reported
Smart Contract Audit
Not reported
Liquidity Lock
Not reported

About DISCIPLINA

DISCIPLINA is a multifunctional blockchain for projects in the educational and recruiting spheres. It provides the transparency of work and creates conditions of maintaining confidentiality and reliability of information added by system participants. DISCIPLINA doesn’t use any other blockchains in its work, and is being developed for the demands of the educational and recruiting fields, taking into account the specificity of their work. DISCIPLINA Technology Proof-of-Stake Disciplina is a proof-of-stake blockchain, which means faster transactions and no need for energy-consuming mining farms. We do not require stake delegation — any node is free to join the network and validate transactions. In order to increase participation in the protocol, we offer rewards for nodes that stay online and produce blocks. The probability of such a reward is proportional to the stake of the participant. Two-layer architecture DISCIPLINA respects privacy — it has private and public layers in its architecture. These layers work closely in order to guarantee both privacy and validity of the data. Private layer contains the actual data, whereas the public one stores cryptographic proofs that the data is untampered. Web of Trust We do not use any central organisation to tackle fake educational institutions. Instead, we integrate an intrinsic reputation mechanism called Web of Trust into the core of our architecture. Every entity is able to express opinions on the others’ ability to assess skills. The system builds the ratings of the participants based on these opinions. Respected educational institutions would have more weight and influence in our ecosystem. Fair data disclosure DISCIPLINA implements a novel data disclosure algorithm that preserves privacy and ensures that educational institutions can’t cheat while disclosing the data. We use blockchain as a final judge that decides whether the data being disclosed to the interested party is valid. Most importantly, it does not require opening the sensitive data to the public! High-assurance code With blockchains and cryptocurrencies one small error can cause big damage. This is why we prefer high-assurance software development techniques. Our core blockchain code is written in Haskell — a type-safe functional programming language that catches most of the errors at compile-time. We also value formal specification — it helps us create a clear understanding about how our system should work, and allows us to clarify all the subtleties of implementation before we even start implementing a feature.

Presale Details

Hard Cap$350.00K
Soft Cap—
Presale Rate0.035 /USD

Contract Info

Contract Address:

0xdece0f6864c1511369ae2c30b90db9f5fe92832c

Network:

BSC