17739512. HOMOMORPHIC ENCRYPTION SYSTEM FOR SUPPORTING APPROXIMATE ARITHMETIC OPERATION AND METHOD OF OPERATING THE SAME simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 HOMOMORPHIC ENCRYPTION SYSTEM FOR SUPPORTING APPROXIMATE ARITHMETIC OPERATION AND METHOD OF OPERATING THE SAME
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HOMOMORPHIC ENCRYPTION SYSTEM FOR SUPPORTING APPROXIMATE ARITHMETIC OPERATION AND METHOD OF OPERATING THE SAME - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
HOMOMORPHIC ENCRYPTION SYSTEM FOR SUPPORTING APPROXIMATE ARITHMETIC OPERATION AND METHOD OF OPERATING THE SAME
Organization Name
Inventor(s)
Youngsik Moon of Suwon-si (KR)
Jiyoup Kim of Hwaseong-si (KR)
HOMOMORPHIC ENCRYPTION SYSTEM FOR SUPPORTING APPROXIMATE ARITHMETIC OPERATION AND METHOD OF OPERATING THE SAME - A simplified explanation of the abstract
This abstract first appeared for US patent application 17739512 titled 'HOMOMORPHIC ENCRYPTION SYSTEM FOR SUPPORTING APPROXIMATE ARITHMETIC OPERATION AND METHOD OF OPERATING THE SAME
Simplified Explanation
The abstract of the patent application describes a homomorphic encryption system that includes a device for encrypting data using a homomorphic encryption algorithm and another device for performing arithmetic operations on the encrypted data using a binary tree structure.
- The system uses homomorphic encryption to encrypt original data into ciphertext.
- It includes a device that performs approximate arithmetic operations on the encrypted data.
- The approximate arithmetic operations involve transcendental functions.
- The operations are performed using a binary tree structure.
- The system allows for homomorphic multiplication operations on the ciphertext.
Potential Applications
- Secure data processing in cloud computing environments.
- Privacy-preserving data analysis and machine learning.
- Secure outsourcing of computations to untrusted servers.
Problems Solved
- Protecting sensitive data during computation and storage.
- Enabling secure and private data analysis without exposing the raw data.
- Allowing for secure outsourcing of computations to untrusted parties.
Benefits
- Enables secure and private computation on encrypted data.
- Protects sensitive information from unauthorized access.
- Allows for secure collaboration and data sharing without revealing the raw data.
Original Abstract Submitted
A homomorphic encryption system includes a homomorphic encryption device encrypting original data into a first ciphertext using a homomorphic encryption algorithm, and a homomorphic encryption operation device receiving the first ciphertext from the homomorphic encryption device and performing an approximate arithmetic operation of a transcendental function with respect to the first ciphertext and a second ciphertext by performing a homomorphic multiplication operation in a binary tree structure.
