Homomorphic example sentences

Related (7): encryption, isomorphism, cryptography, masking, privacy, computation, security

"Homomorphic" Example Sentences

1. Homomorphic encryption allows operations to be performed on ciphertexts
2. The RSA scheme is homomorphic with respect to multiplication
3. The Paillier cryptosystem is an example of a partially homomorphic encryption scheme
4. A fully homomorphic encryption scheme would allow arbitrary computations on encrypted data
5. Homomorphic signatures allow for secure computations on signed messages
6. The ElGamal cryptosystem is homomorphic with respect to multiplication and exponentiation
7. One application of homomorphic encryption is secure cloud computing
8. Homomorphic hashing is a technique for secure data privacy in data sharing scenarios
9. Computing on encrypted data using homomorphic encryption can be computationally intensive
10. Homomorphic encryption can be used to perform statistical analysis on encrypted data without revealing the original data
11. The use of homomorphic encryption in medical data sharing can preserve patients' privacy while also sharing valuable medical information
12. Homomorphic encryption can be used to maintain confidentiality in voting systems where vote counts need to be aggregated
13. Homomorphic encryption can be used to enable secure machine learning on sensitive data such as health records or financial data
14. One big challenge in fully homomorphic encryption is minimizing the computational overhead while still maintaining security
15. Homomorphic encryption is considered an area of active research in the field of cryptography
16. Homomorphic encryption can be used to enable secure outsourcing of resource-intensive computations
17. Homomorphic encryption can enable secure multiparty computation without revealing individual inputs
18. The development of efficient homomorphic encryption schemes is crucial for the success of secure cloud computing
19. Homomorphic encryption can enable secure distributed computing over multiple untrusted servers
20. Homomorphic encryption can be used to enable secure data analysis in applications such as genomics research
21. The security of homomorphic encryption relies on the hardness of certain mathematical problems such as factoring or discrete logarithms
22. The efficiency of homomorphic encryption depends on the homomorphism properties of the underlying scheme
23. The potential applications of homomorphic encryption are vast, ranging from secure outsourcing to secure auctions to secure financial transactions
24. Homomorphic encryption can allow for secure data sharing even in scenarios where collusion between adversaries is possible
25. The security of homomorphic encryption also relies on proper key management and secure key exchange protocols
26. Homomorphic encryption can enable secure data analysis without compromising privacy in applications such as social network analysis or credit scoring.
27. Homomorphic encryption can be used to perform secure searches on encrypted data without revealing the original data
28. The security of homomorphic encryption can be further enhanced by combining it with techniques such as secure multiparty computation or secure hardware
29. The goal of homomorphic encryption is to enable secure computations on encrypted data without having to decrypt it first
30. Homomorphic encryption has the potential to revolutionize the way we think about data privacy and security in a wide range of applications.

Common Phases

1. Homomorphic encryption allows for secure computation on encrypted data;
2. Homomorphic encryption enables computations on encrypted data without decrypting it first;
3. Homomorphic functions preserve the structure or pattern of an operation when applied to encrypted data;
4. Homomorphic encryption ensures that results of computations on encrypted data are also encrypted;
5. Homomorphic encryption is used to process sensitive data while preserving privacy;
6. Homomorphic encryption can be applied to various types of data including text, images, and video;
7. Homomorphic encryption has potential applications in many fields including finance, healthcare, and security;
8. Homomorphic encryption is a complex but promising field of study in cryptography;
9. Homomorphic properties may differ depending on the type of encryption used;
10. Researchers continue to develop ways to make homomorphic encryption more efficient and practical.

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