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National Cryptography Algorithms
National Cryptography Algorithms refer to cryptographic algorithms recognized by the Chinese National Cryptography Administration, used to protect state secrets and important information security. Currently, National Cryptography Algorithms include various categories such as block cipher algorithms, hash algorithms, signature algorithms, and key exchange algorithms.
Types and Applications of National Cryptography Algorithms
Types: National Cryptography Algorithms are divided into commercial cryptography and sensitive information cryptography. Commercial cryptography is mainly used to protect commercial secrets and personal information security, while sensitive information cryptography is used to protect state secrets and important information security. Applications: National Cryptography Algorithms are widely used in multiple fields such as government, finance, telecommunications, and energy, for example, in the second-generation identity cards, social security cards, and electronic government services.
White-box Cryptography
White-box cryptography is an additional security mechanism that can protect applications from reverse engineering, tampering, and automated attacks. It embeds an extra layer of protection at the source code level, providing an efficient method for software protection.
Advantages of White-box Cryptography
High Security: White-box cryptography embeds cryptographic algorithms into the source code, making it impossible for attackers to crack the algorithm even if they obtain the code. Easy Deployment: White-box cryptography is easy to deploy, without the need for additional hardware or software support. Maintainability: White-box cryptography is highly maintainable and can be updated and upgraded as needed.
Fully Homomorphic Encryption
Fully Homomorphic Encryption is an encryption scheme that allows computations to be performed on encrypted data without first requiring decryption. This enables calculations to be carried out while protecting the privacy of sensitive data.
Features of Fully Homomorphic Encryption
Computational Confidentiality: Computational confidentiality in Fully Homomorphic Encryption means that computations are performed on ciphertexts, and no information about the plaintext can be derived from the ciphertext results. Addition Homomorphism: Addition homomorphism refers to the property that the addition of two ciphertexts results in an outcome equivalent to the encryption of the sum of the two plaintexts.
Applications of Fully Homomorphic Encryption
Fully Homomorphic Encryption has applications in many fields, such as AI training, healthcare, and finance. It can be used to protect sensitive data while allowing computations to be performed on that data.