18275618. SECURE PAGERANK COMPUTATION SYSTEM, METHOD THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM simplified abstract (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)
Contents
- 1 SECURE PAGERANK COMPUTATION SYSTEM, METHOD THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SECURE PAGERANK COMPUTATION SYSTEM, METHOD THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SECURE PAGERANK COMPUTATION SYSTEM, METHOD THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM
Organization Name
NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor(s)
Satoshi Takahashi of Musashino-shi, Tokyo (JP)
Tetsushi Morita of Musashino-shi, Tokyo (JP)
Osamu Takino of Musashino-shi, Tokyo (JP)
SECURE PAGERANK COMPUTATION SYSTEM, METHOD THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18275618 titled 'SECURE PAGERANK COMPUTATION SYSTEM, METHOD THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM
Simplified Explanation
The patent application describes a method to calculate PageRank with high accuracy using transaction data from multiple sources while keeping the data of each source confidential.
- The data source apparatus calculates transaction rates for different combinations of transaction entities and encrypts the rates before transmitting them to secure computation apparatuses.
- The secure computation apparatuses receive encrypted transaction rates from multiple data sources and use them to securely calculate the PageRank of a specific transaction entity.
Potential Applications
This technology can be applied in various industries such as finance, e-commerce, and social media platforms to accurately calculate PageRank while maintaining data privacy.
Problems Solved
1. Ensures high accuracy in calculating PageRank using transaction data from multiple sources. 2. Protects the confidentiality of transaction data held by each data source.
Benefits
1. Improved accuracy in PageRank calculations. 2. Enhanced data privacy and security. 3. Efficient computation of PageRank without compromising data confidentiality.
Potential Commercial Applications
Optimizing search engine rankings, improving recommendation systems, enhancing targeted advertising strategies.
Possible Prior Art
One possible prior art could be the use of secure computation techniques to analyze sensitive data from multiple sources while preserving privacy and confidentiality.
Unanswered Questions
1. How does the encryption process ensure the security of the transaction rates during transmission? 2. What specific algorithms or cryptographic techniques are used to securely calculate the PageRank of the transaction entities?
Original Abstract Submitted
To calculate PageRank with high accuracy using transaction data held by a plurality of data sources as input and keeping the transaction data of each data source secret. A data source apparatus () calculates a transaction rate for each combination of transaction entities (S). The data source apparatus () encrypts the transaction rate and transmits the encrypted transaction rate to each secure computation apparatus () (S). Each secure computation apparatus () receives a ciphertext of the transaction rate from a plurality of data source apparatuses () (S). The secure computation apparatus () securely calculates a ciphertext which becomes, when decrypted, PageRank of the computational objective transaction entity by using the ciphertext of the transaction rate related to the computational objective transaction entity and the ciphertext of the PageRank of a transaction counterpart (S).
