Samsung electronics co., ltd. (20240129106). APPARATUS AND METHOD WITH HOMOMORPHIC ENCRYPTION OPERATION simplified abstract

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APPARATUS AND METHOD WITH HOMOMORPHIC ENCRYPTION OPERATION

Organization Name

samsung electronics co., ltd.

Inventor(s)

Andrey Kim of Suwon-si (KR)

Yongwoo Lee of Suwon-si (KR)

Maksim Deriabin of Suwon-si (KR)

Jieun Eom of Suwon-si (KR)

Rakyong Choi of Suwon-si (KR)

APPARATUS AND METHOD WITH HOMOMORPHIC ENCRYPTION OPERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240129106 titled 'APPARATUS AND METHOD WITH HOMOMORPHIC ENCRYPTION OPERATION

Simplified Explanation

The apparatus described in the abstract is designed to perform a homomorphic encryption operation using blind rotation. Here is a simplified explanation of the patent application:

  • One or more processors are used to preprocess vector components of an operand ciphertext for a blind rotation operation.
  • The modified vector is generated based on the order of a polynomial of the output ciphertext and the modulus of the operand ciphertext.
  • The homomorphic encryption operation result is then generated by performing the blind rotation operation using a public key and the modified vector.

Potential Applications

Homomorphic encryption technology can be applied in various fields such as secure data processing, privacy-preserving machine learning, and secure cloud computing.

Problems Solved

This technology helps in securely processing sensitive data without compromising privacy or confidentiality. It enables computations on encrypted data without the need to decrypt it first, thus reducing the risk of data exposure.

Benefits

- Enhanced data security and privacy - Secure computation on encrypted data - Protection against unauthorized access to sensitive information

Potential Commercial Applications

- Secure data analytics platforms - Encrypted communication systems - Privacy-preserving cloud services

Possible Prior Art

One example of prior art in this field is the work on fully homomorphic encryption by Craig Gentry in 2009, which laid the foundation for secure computation on encrypted data.

Unanswered Questions

How does this technology impact data processing in the healthcare industry?

This technology could revolutionize how healthcare data is handled, allowing for secure analysis of patient information without compromising privacy.

What are the implications of this innovation for financial institutions?

Financial institutions could use this technology to securely process sensitive financial data while ensuring compliance with data protection regulations.


Original Abstract Submitted

an apparatus with a homomorphic encryption operation includes: one or more processors configured to: generate a modified vector by preprocessing vector components of an operand ciphertext of a blind rotation operation based on an order of a polynomial of an output ciphertext of the blind rotation operation and a modulus of the operand ciphertext; and generate a homomorphic encryption operation result by performing the blind rotation operation based on a public key for performing the blind rotation operation and the modified vector.