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docs: add document for AI models security enhancement #154
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Maybe we also add some refer link to this markdown page in README? |
yes, let's review the content and title first. |
- Register key to Key Broker Service (KBS), and KBS communicates with key management service (KMS) to store the key. | ||
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### 1.2 Confidential Cloud Native Primitives (CCNP) |
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Cloud-Native
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See this document, seems to be CNCF style to not use hyphen:
https://github.com/cncf/foundation/blob/main/style-guide.md
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@hwang37 what are your suggestions on this? Cloud Native
or Cloud-Native
?
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I remember Hongbo mentioned it is some hyphen added by legal. So it will be our official name.
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### 2.1 Mode Encryption | ||
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AES GCM is a widely used encryption algorithm and mode of operation for securing data, particularly in network communications and data storage. It combines two important cryptographic techniques: AES and GCM. AES is a symmetric encryption algorithm that uses a shared secret key for both encryption and decryption. GCM is based on a combination of CTR and GMAC, this combination ensures that not only is the data encrypted, but it also includes an authentication tag that allows the recipient to verify the integrity of the data. |
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AES-GCM is a widely used block cipher mode of operation ....
And regarding the introduction of GCM, i remember it is an algorithm that runs on a block cipher with block size 128 bits(mainly AES). And GMAC is the authentication-only variant of GCM. Please take the NIST publication as reference. https://nvlpubs.nist.gov/nistpubs/legacy/sp/nistspecialpublication800-38d.pdf
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GMAC is the authentication-only variant of GCM, and GCM is based on a combination of CTR and GMAC, this should be ok, right?
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- Register key to Key Broker Service (KBS), and KBS communicates with key management service (KMS) to store the key. | ||
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### 1.2 Confidential Cloud Native Primitives (CCNP) |
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See this document, seems to be CNCF style to not use hyphen:
https://github.com/cncf/foundation/blob/main/style-guide.md
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LGTM |
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LGTM
Signed-off-by: Dong, Xiaocheng <[email protected]>
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LGTM. Thanks.
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LGTM. Thanks
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