The invention relates to the technical field of
data security, and discloses a privacy
data security intelligent transmission method based on a binary
sequence segmentation original network, comprising the following steps: S1, performing binary
sequence segmentation on a deep neural network in a spatial dimension; s2, performing feature transmission; s3, bullet fish densification; and S4, performing secure storage. According to the secure and intelligent private
data transmission method for segmenting the original network based on the binary sequence, the original network is segmented through the binary sequence, the
client only transmits the
feature vector instead of the original private data, and the sensitive information
exposure risk is reduced from the source; the bullet fish
algorithm enables transmission data to exist in a
ciphertext form, and the possibility of reverse decoding is minimized in cooperation with antagonistic reconstruction learning, so that triple privacy barriers of data segmentation, dynamic
encryption and model protection are formed; hash
verification before
cloud storage ensures
data integrity, tampering and leakage are avoided, violent attacks and
reverse engineering are effectively resisted, and the privacy compliance requirement of a high-sensitivity scene is met.