Enovia AI Whitepaper
  • Introduction
  • Enovia Mission
  • AI x Blockchain
    • Security and Transparency
    • Decision Making
    • Privacy and Control
    • Trust in AI decisions
    • Innovation in Business Models
    • Operations Efficiency
    • dApps
  • Token
    • Tokenomics
  • Presale
    • Fairlaunch
  • Enovia AI Tools
    • Utilities
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  1. AI x Blockchain

Security and Transparency

PreviousAI x BlockchainNextDecision Making

Last updated 1 year ago

One of the primary benefits of blockchain technology is its ability to secure data in a tamper-proof manner. When combined with AI, this feature becomes even more potent. AI algorithms can analyze blockchain data efficiently, detecting anomalies and potential security breaches swiftly. This integration ensures a high level of data integrity and transparency, making it ideal for sectors like finance, healthcare, and supply chain management, where data security is paramount.

Our Encryption mechanisms:

The AES encryption process involves several rounds, each consisting of a series of operations, including substitution, permutation, and mixing. We can represent a simplified version of the AES encryption process with a set of equations:

Equations:

  1. SubBytes Transformation: S(x)=SubBytes(x)S(x)=SubBytes(x)Here,SSrepresentstheSubBytestransformation,whichinvolvessubstitutingeachbyteofthestatewithanotherbytefromafixedtable(S−box).S(x)=SubBytes(x)S(x)=SubBytes(x)Here, SSrepresents the SubBytes transformation, which involves substituting each byte of the state with another byte from a fixed table (S-box).S(x)=SubBytes(x)S(x)=SubBytes(x)Here,SSrepresentstheSubBytestransformation,whichinvolvessubstitutingeachbyteofthestatewithanotherbytefromafixedtable(S−box).

  2. ShiftRows Transformation: SR(x)=ShiftRows(x)SR(x)=ShiftRows(x)TheShiftRowstransformationinvolvescyclicallyshiftingtherowsofthestatematrix.SR(x)=ShiftRows(x)SR(x)=ShiftRows(x)The ShiftRows transformation involves cyclically shifting the rows of the state matrix.SR(x)=ShiftRows(x)SR(x)=ShiftRows(x)TheShiftRowstransformationinvolvescyclicallyshiftingtherowsofthestatematrix.

  3. MixColumns Transformation: MC(x)=MixColumns(x)MC(x)=MixColumns(x)TheMixColumnstransformationoperatesonthecolumnsofthestatematrix.MC(x)=MixColumns(x)MC(x)=MixColumns(x)The MixColumns transformation operates on the columns of the state matrix.MC(x)=MixColumns(x)MC(x)=MixColumns(x)TheMixColumnstransformationoperatesonthecolumnsofthestatematrix.

  4. AddRoundKey Transformation: ARK(x,k)=AddRoundKey(x,k)ARK(x,k)=AddRoundKey(x,k)TheAddRoundKeytransformationinvolvesbitwiseXOR(exclusiveOR)ofthestatematrixwitharoundkeyderivedfromtheoriginalencryptionkey.ARK(x,k)=AddRoundKey(x,k)ARK(x,k)=AddRoundKey(x,k)The AddRoundKey transformation involves bitwise XOR (exclusive OR) of the state matrix with a round key derived from the original encryption key.ARK(x,k)=AddRoundKey(x,k)ARK(x,k)=AddRoundKey(x,k)TheAddRoundKeytransformationinvolvesbitwiseXOR(exclusiveOR)ofthestatematrixwitharoundkeyderivedfromtheoriginalencryptionkey.

The complete AES encryption process involves multiple rounds of these transformations, and each round uses a different round key generated from the original encryption key. The complexity and security of AES stem from the combination of these transformations and the key schedule.

In summary, the AES encryption process can be represented as a sequence of equations, with each equation corresponding to a specific transformation applied in a particular round of the encryption process. The strength of AES lies in its ability to resist various cryptographic attacks while providing efficient and secure encryption.