BEIJING, May. 22,
2024 /PRNewswire/ -- WiMi Hologram Cloud Inc.
(NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram
Augmented Reality ("AR") Technology provider, today announced that
the blockchain data encryption based on machine learning and fully
homomorphic encryption algorithm is a comprehensive solution which
applies cutting-edge cryptography and artificial intelligence
technologies for blockchain data protection. It combines the
intelligent key management of machine learning and the direct
ciphertext computation capability of fully homomorphic encryption,
aiming to ensure that the data on the blockchain achieves effective
protection of sensitive information while maintaining a high degree
of transparency and tamper-proofness.
Full homomorphic encryption (FHE), as an advanced cryptographic
technique, can perform arithmetic operations on encrypted data
without first decrypting it, the result of the computation remains
encrypted, and the decrypted result is the same as the result of
the direct computation on the plaintext. This technology provides
new ideas for solving blockchain privacy issues. FHE can also
support more complex operations, such as exponentiation, division,
comparison, etc., making it possible to execute machine learning
models on encrypted data. By fully homomorphic encryption of
sensitive data on the blockchain (e.g., transaction amounts, user
identities, smart contract parameters, etc.), it ensures that while
this information is open and transparent on the chain, only the
data owner or authorized participants can decrypt and access the
specific content, realizing the harmonious coexistence of privacy
protection and the principle of blockchain transparency. After
receiving the encrypted data, blockchain nodes can directly perform
operations such as verification, bookkeeping, and smart contract
execution on the ciphertext. FHE ensures that these operations do
not expose plaintext information and the computation results remain
encrypted. The data owner or the participant with the corresponding
rights uses the private key to decrypt the encrypted results to
make decisions, transfer assets, and confirm the results of
contract execution. Unauthorized users cannot decrypt thus
protecting data privacy.
The application of machine learning technology in information
security is also expanding, especially in key management, threat
detection, risk assessment, etc. With algorithm optimization and
hardware acceleration, machine learning models are able to
efficiently process large amounts of data in a real-time
environment, analyze multi-dimensional information such as the
network environment, user behavior, blockchain transaction
patterns, etc. in real time, dynamically generate and update
encryption keys, improve the randomness and anti-cracking ability
of the keys, and realize the intelligent management of encryption
systems. Using the dynamic key generated by machine learning to
encrypt sensitive data on the blockchain can ensure the security of
the data when it is broadcast and stored on the chain. At the same
time, machine learning can also carry out a risk assessment and
early warning of the blockchain system, adjust the encryption
strategy according to the risk posture, enhance the adaptability
and defense capability of data encryption, cope with changing means
of attack and security threats, and ensure data security.
WiMi's data encryption technology based on machine learning and
fully homomorphic encryption algorithm can be utilized in
blockchain in scenarios including privacy-protected transactions,
private smart contracts, cross-chain data exchange and
collaboration, on-chain data analysis and machine learning. For
example, both parties to a transaction can use FHE to encrypt
sensitive information such as transaction amount, asset type, and
purpose of the transaction, ensuring that while this information is
open and transparent on the chain, only both parties to the
transaction and the necessary validation nodes can decrypt it and
view it, thus protecting the privacy of the transaction. The code
logic and input data of smart contracts can go through FHE first
and then be executed on the chain. Even if the contract code and
input data are visible to the public, the calculation results
remain encrypted and only the contract participants can decrypt the
results, protecting commercial secrets and the privacy of the
execution process. In multi-chain or cross-chain environments, FHE
ensures that data passed between different blockchains always
remains encrypted, and only the authorized nodes of the destination
chain can decrypt the data, preventing data leakage in the
intermediate links and supporting secure cross-chain data sharing
and collaboration. In addition, the encrypted data on the
blockchain can be aggregated and statistically operated to generate
encrypted analysis results, which facilitates on-chain or off-chain
market trend analysis, risk assessment, etc., without exposing
individual data. In addition, a decentralized machine
learning platform based on homomorphic encryption can be
established, where each participating node contributes encrypted
training data to jointly train models and protect data privacy.
Blockchain data encryption technology based on machine learning
and a fully homomorphic encryption algorithm integrates
cutting-edge encryption and artificial intelligence technologies,
aiming to provide strong data protection capabilities for
blockchain while maintaining the transparency and
decentralized characteristics of blockchain, which
provides security for the blockchain ecosystem through intelligent
key management, fully homomorphic encryption computation, and a
balance between privacy protection and transparency. It meets the
needs of increasingly complex application scenarios and promotes
the development of blockchain technology towards a more secure,
private, and practical way.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud
comprehensive technical solution provider that focuses on
professional areas including holographic AR automotive HUD
software, 3D holographic pulse LiDAR, head-mounted light field
holographic equipment, holographic semiconductor, holographic cloud
software, holographic car navigation and others. Its services and
holographic AR technologies include holographic AR automotive
application, 3D holographic pulse LiDAR technology, holographic
vision semiconductor technology, holographic software development,
holographic AR advertising technology, holographic AR entertainment
technology, holographic ARSDK payment, interactive holographic
communication and other holographic AR technologies.
Safe Harbor Statements
This press release contains "forward-looking statements" within
the Private Securities Litigation Reform Act of 1995. These
forward-looking statements can be identified by terminology such as
"will," "expects," "anticipates," "future," "intends," "plans,"
"believes," "estimates," and similar statements. Statements that
are not historical facts, including statements about the Company's
beliefs and expectations, are forward-looking statements. Among
other things, the business outlook and quotations from management
in this press release and the Company's strategic and operational
plans contain forward−looking statements. The Company may also make
written or oral forward−looking statements in its periodic reports
to the US Securities and Exchange Commission ("SEC") on Forms 20−F
and 6−K, in its annual report to shareholders, in press releases,
and other written materials, and in oral statements made by its
officers, directors or employees to third parties. Forward-looking
statements involve inherent risks and uncertainties. Several
factors could cause actual results to differ materially from those
contained in any forward−looking statement, including but not
limited to the following: the Company's goals and strategies; the
Company's future business development, financial condition, and
results of operations; the expected growth of the AR holographic
industry; and the Company's expectations regarding demand for and
market acceptance of its products and services.
Further information regarding these and other risks is included
in the Company's annual report on Form 20-F and the current report
on Form 6-K and other documents filed with the SEC. All information
provided in this press release is as of the date of this press
release. The Company does not undertake any obligation to update
any forward-looking statement except as required under applicable
laws.
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SOURCE WiMi Hologram Cloud Inc.
