Overview

This project aims to build a decentralized and hardware-oriented service with a cryptocurrency that incorporates AI and quantum resistance. This white paper details the proposed solution.

Technical Overview

Decentralized Architecture

The project adopts a decentralized architecture based on blockchain technology. Below, we detail its structure and advantages.

Blockchain Mechanism
  • Blockchain: A data structure where “blocks” containing transaction information are linked in a chain. Each block includes the hash value of the previous block, ensuring the consistency and security of the entire chain.
  • Decentralized Network: Blockchain operates on a peer-to-peer network without a central administrator, enhancing the reliability and transparency of the entire system.
  • Consensus Mechanism: A protocol that all network participants (nodes) use to verify the validity of new blocks, ensuring a robust system resistant to tampering.

Advantages of Hardware-Oriented Approach

A key feature of this project is the use of AI within a decentralized, tamper-proof system enabled by dedicated hardware. Here are the benefits:

  • Robustness: Encryption processing using dedicated hardware provides high security and reliability, preventing data tampering and unauthorized access.
  • Efficiency: The use of hardware improves processing speed and efficiency. Particularly in executing AI algorithms, it enables fast data processing by leveraging parallel processing capabilities.
  • Scalability: Expanding hardware in a decentralized network contributes to the overall performance of the network, making it capable of handling future expansions.

Technology Stack

This project employs the following technology stack:

  • AI Technologies: Machine learning, natural language processing
  • Quantum-Resistant Algorithms: Hash-based signatures, ECDSA, multi-signature
  • Blockchain Technologies: Consensus mechanisms, smart contracts

Quantum Resistance

Threats and Impacts of Quantum Computers

The advent of quantum computers poses a potential threat to traditional cryptographic techniques. Quantum algorithms (e.g., Shor’s algorithm) can break conventional public-key cryptography. To counter this, the project adopts quantum-resistant technologies.

Quantum-Resistant Algorithms

  • Hash-Based Signatures: Secure signature methods resistant to quantum computers. They rely on the security of hash functions, providing strong protection against quantum attacks.
  • ECDSA (Elliptic Curve Digital Signature Algorithm): Includes additional security layers for quantum resistance alongside traditional signature methods.
  • Multi-Signature: Requires approval from multiple keys, enhancing security and serving as an effective defense against quantum computers.

Security

Mitigating Side-Channel Attacks

ECDSA is strengthened against side-channel attacks by complicating the processing context, making it difficult for attackers to steal information during processing. Leveraging the difficulty of reversing periodic calculations is a critical security measure.

  • Complex Processing Context: Introducing random elements in the ECDSA signature generation process, varying processing time and memory usage to thwart side-channel attacks.
  • Quantum Resistance: Quantum-resistant algorithms constantly change patterns and maintain consistent processing times, providing high resistance to side-channel attacks and enhancing cryptographic asset security.

Role of AI and Design of Decentralized Network

To ensure practical application and avoid theoretical pitfalls, the project provides tangible services. Technologies are already integrated into “SORA-QAI FromHDDtoSSD” for drive inspection and statistical processing in a decentralized network.

  • SORA-QAI FromHDDtoSSD: Uses AI and decentralized technologies for drive health inspections, allowing users to experience the system’s effectiveness.
  • Expansion to Small Linux Computers: Plans to connect small Linux-based computers like Raspberry Pi to SORA-QAI, leveraging the decentralized system. This allows for small-scale experimental setups to gather insights for further applications.

Use Cases and Applications

Utilizing Tokens (AI-NFT)

Managing use cases and applications involves using tokens (AI-NFT), enhancing the precision and reliability of blockchain applications.

  • Management via AI-NFT: Tokens streamline the management of use cases and applications, improving transparency and security.
  • Practical Applications: Examples include transactions using smart contracts and the management of IoT devices, combining AI and blockchain technologies.

By implementing a decentralized and hardware-oriented cryptocurrency system that integrates AI and quantum resistance, the project demonstrates practical use cases, proving its reliability and effectiveness.

Roadmap Achievements by 2023

Development of SORA-QAI FromHDDtoSSD v3 is complete and operational, enabling highly accurate pre-failure detection of SSD/NVMe.

Plans from 2024 Onward

2024 [Achieved] 1Q – 2Q

  • Implemented quantum & AI resistance in the core part of SORA-QAI.

By the End of 2024

  • Utilizing insights from SORA-QAI FromHDDtoSSD to operate small Linux-based computers like Raspberry Pi with blockchain.
  • Research autonomous AI control, referring to this system as SORA-QAI Small Computer.
  • Developed a lightweight version for exchanges, increasing the number of exchanges.

2025

  • Equip drones with SORA-QAI Small Computers to operate them in a decentralized manner and monitor their trajectories.
  • SORA-QAI FromHDDtoSSD continues to gather insights, achieving higher pre-failure detection accuracy for SSD/NVMe than traditional methods.

Conclusion

The project is progressing with the development of mobile wallets for Android and iOS, aiming for release in 2Q or 3Q 2024. This release will significantly expand the services offered.

The project aims to provide a safer and more efficient digital ecosystem through a decentralized and hardware-oriented cryptocurrency system that integrates AI and quantum resistance. We invite users to experience the potential of this new technology and look forward to future developments.