Abstract: Existing techniques for the simultaneous encryption and compression of three- dimensional (3D) image sequences may come with sufficient decryption accuracy or compression ratio, but do not inherently have both; the relationship between them is generally ignored because the images of a sequence are handled individually. To address this problem, we designed Tensor Compressive Sensing (TCS) to simultaneously encrypted compressa3D sequence a tensor rather than sever a 2Dimages. The proposed method preserves the intrinsic structure of tensor-based 3D image sequences and achieves favorable balance of compression ratio, decryption accuracy, and security. Numerical simulation results verify the validity and the reliability of the TCS scheme.