โš™๏ธKey Technique

1. MetaID

The existing digital identity system faces significant challenges, impacting those who possess it negatively, and a substantial portion of the global population there are millions of peoples lacking any form of digital or legal identity. In the Web2 world, we are using a siloed shared-secret model such as username and password or federated identity of social networks which may not absolutely prioritize your data privacy. While centralized identity is attempting to address this issue, they inadvertently generate a new set of problems by consolidating vast amounts of information and control in a centralized manner.

MetaID is truly built on a decentralized identity framework that is straightforward, secure, transparent, and ultimately governed by the individual it pertains to. The emerging domain of decentralized digital identity appears to offer a promising solution to these pressing issues. Join MetaHub Platform, a digital world, you will obtain a MetaID that allows you to become MetaCitizen and start earning the rewards by completing tasks, quests or refer new users as helping the platform to bring more citizens. The immersive experience to help end-users connect from Web2 to Web3 is the purpose of this development phase until we completely move to Web3.

2. SoulBound Token

In our increasingly complex physical and online realms, safeguarding one's identity has become a formidable challenge. The multitude of identity management applications and anti-identity theft measures underscore how easily digital ambiguity can compromise our very sense of self.

So, how can we forge a digital identity that transcends its primitive pixelated origins and evolves into a fully-fledged digital representation?

By harnessing the power of blockchain technology and distributed ledgers as the bedrock of trust, SoulBound Token (SBT) emerges as a NFT token, serving as our citizens' digital passport. In simple terms, it certifies your identity as truly unique, non-interchangeable, and inseparable from your ownership rights. Combining the robust security of blockchain with the flexibility inherent in its decentralized nature, we pledge to revolutionize the user experience, enabling our citizens to navigate effortlessly across digital realms.

Using SoulBound Token (SBT), our citizens can provide "just-enough" insight to MetaHub to protect our citizens from fraud, malicious activities and contribute to an evaluative index of users' credibility within the ecosystem. This approach will not only foster a sense of unparalleled freedom and privacy for our citizens but also supports intricate community management and interactions within the decentralized realm. The heart of our MetaHub platform comes with AI-powered solutions which input safeguard data into large language models (LLMs) to enable the platform to recognize the trends, translate the context, predict the growth, and generate recommendations to our citizens and partners in the ecosystem.

3. MetaCitizen

MetaCitizen plays an incredibly significant role within the organizational framework of MetaHub, resulting from the harmonious fusion of the SoulBound Token electronic passport, the decentralized identity management system MetaID, and the affiliate marketing system. This synergy positions MetaCitizen as the repository for all user-related information.

The role of MetaCitizen extends beyond mere information storage, encompassing the potential for utilizing these resources within the Decentralized Affiliate Consuming(DAC) system. This empowers partners to leverage the information for effectively implementing their marketing strategies, product distribution, and services.

By intelligently constructing and maintaining the MetaCitizen system, MetaHub is ceaselessly driving the advancement of decentralized applications and digital economic systems. Furthermore, it initiates an environment of interaction and collaboration among potential projects with suitable customer profiles.

4. Generative AI - The Game Changer

MetaHub as a Decentralize Affiliate Hub is leveraging Generative AI, including large language models like GPT and LLaMA, to transform Affiliate Marketing in the dynamic world of ecommerce and social networks. Using AI-powered language models to create high-quality, contextually relevant content is a game-changer in the digital marketing landscape.

Incorporating AI into affiliate marketing is no longer an option; it's a necessity to thrive in the competitive digital landscape. The benefits for MetaHub Citizens include:

  1. Personalization: Enabling personalized content creation for Requestors and Affiliators that resonates with individual users, boosting engagement and conversions. Recommendations and messages are tailored to user preferences and behaviors.

  2. Efficiency: AI-driven content generation significantly reduces the time and effort required for task materials, enhancing campaign operations' efficiency.

  3. Data-Driven Insights: Our AI generates valuable insights into user behaviors and triggers for their actions, fine-tuning activities and optimizing campaigns.

  4. Competitive Edge: Embracing AI technologies gives MetaHub a competitive advantage. Offering high-quality, AI-generated content becomes a unique selling point that attracts and retains end-users.

  5. Sentiment Analysis: Incorporating sentiment analysis helps gauge user emotions and reactions, allowing partners to fine-tune content and offers to match user sentiments, creating emotionally resonant content.

In summary, MetaHub's innovative use of Generative AI revolutionizes affiliate marketing, offering personalization, efficiency, data-driven insights, a competitive edge, and sentiment analysis to enhance our MetaHub Citizen user experience and marketing campaign effectiveness.

5. The Bot Mitigation and Anti-fraud System (BMAS)

BMAS system is used to not only stop malicious bots and prevent fraud threats before it impacts to our ecosystem but also detect fraudulent activity. In particular, to detect fraud, there are several techniques that we are implementing:

  • Calculate statistical parameters

  • Match data

  • Perform Logistic Regression analysis

  • Use probability models and distributions

  • Mine data to classify, segment, and cluster data to find associations and rules signaling patterns of malicious activities

  • Detect fraud with heuristic rules, machine learning and thresholds

BMAS system will need data to get started. That the more data we feed into the system to start with, the more accurate results will be. Therefore, simulated fraud data is also feed into the system to ensure the volume, quality and diversity in analysis process.

The following information describes our major components in BMAS system:

  1. Feeding the input data to BMAS system: The data we collect such as IP Address, Browsers, Device Type, Proxy (if use), transaction on chain, campaign identifier number, types of requests, etc. is used to build โ€œdigital avatarsโ€ or fingerprints. For the quest that needs a Sheriff to verify the action, the data is gathered to provide input to scoring function.

  2. Rule generation: Before we have ML/AI, using heuristic rules is one of the most efficient way. The are two main types of rules that we use in BMAS system:

  • Single parameter rules, also known as heuristic rules.

  • Complex rules, including multiple parameters. We can adjust accuracy thresholds to tighten or loosen triggering conditions. The historical data will be used to help us to create a confusion matrix based on collected data over the selected time frame and highlights the estimated accuracy rate of those rules.

  1. Fraud scoring and analytics: BMAS system leverages on machine learning models to assign risk scores to activities or user accounts based on various factors, such as transaction, location, frequency, and past behavior. Higher risk scores indicate a higher likelihood of fraud, enabling us to perform further investigation. Fraudulent actors often collaborate and form networks to carry out their activities. Another machine learning technique we implemented in BMAS system is semantic graph analysis to help uncover these networks by analyzing relationships between entities (such as users, wallets, transactions on chain, etc.) and identifying unusual connections or clusters.

  2. Risk threshold settings: Finding the optimal risk threshold requires conducting data analysis rooted in the principles of โ€œprecision vs recallโ€. Setting the right limits for Allow/Review/Prevent thresholds depends on this model evaluation metrics. It entails a balancing act involving:

  • True positives (the number of fraudsters successfully blocked)

  • False positives (the number of legitimate individuals mistakenly blocked)

  • False negatives (the number of fraudsters inadvertently allowed)

Navigating this intricate balance is crucial for effective risk management in fraud detection and prevention. BMAS system leverage on LLM to understand the context and requirements from a natural language of administrator or business partners to suggest the right thresholds setting.

6. Concentrated Liquidity System (CLS)

The Concentrated Liquidity Market Maker (CLMM) is an advanced algorithm designed for the AMM DEX platform. It allows liquidity providers to add liquidity within a specific price range for token pairs, as opposed to offering liquidity across an infinite price range as before. Applying that principle, MetaHub introduces the Concentrated Liquidity System (CLS), a system designed to provide liquidity within a predefined price range. CLS utilizes multiple intelligent algorithms to interact with decentralized exchanges (DEXs), offering liquidity to users within a specific price range. This range will adjust proportionally with the growth of user numbers within the ecosystem.

The primary function of CLS is to generate sell orders on the DEX when the token price exceeds the maximum allowable price range. Similarly, when the price drops below the minimum threshold, CLS generates buy orders to bring the price back within the allowable range. Through this operation, CLS contributes to maintaining price stability and providing liquidity to users in the first stage of development progress.

CLS serves not only to uphold liquidity but also to combat the negative phenomenon of 'Pump & Dump,' a situation often seen in the cryptocurrency market. This safeguards the token price on MetaHub against undue manipulation or abrupt selloffs. Instead, CLS establishes a stable trading environment for users.

With the aim of constructing a fair and transparent trading environment, MetaHub has integrated CLS with an intelligent transaction tax system. This system automatically applies appropriate taxes on the DEX, aiding in maintaining token price stability and preventing improper price manipulation. The synergy between CLS and the transaction tax system plays a crucial role in building a stable ecosystem on MetaHub.

By efficiently combining CLS and the intelligent transaction tax system, MetaHub has created a trading environment that is stable, fair, and transparent for users. This provides significant benefits to both users and the ecosystem, contributing to the formation of a robust and trustworthy cryptocurrency community.

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