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A 3D model encryption scheme based on a cascaded chaotic system

  • Suo Gao
  • , Rui Wu*
  • , Xingyuan Wang
  • , Jin Wang
  • , Qi Li
  • , Chunpeng Wang
  • , Xianglong Tang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

With the birth of the metaverse, 3D models have received extensive attention, and the security of information transmission continues to be an important issue. In this paper, we propose a 3D model encryption method based on a 2D chaotic system constructed via the coupling of the logistic map and infinite collapse (2D-LAIC) and on semi-tensor product (STP) theory. In terms of Lyapunov exponents, NIST test results, bifurcation diagrams, etc., 2D-LAIC exhibits better dynamical behavior than classical chaotic systems. 2D-LAIC can generate an unpredictable keystream, which is highly suitable for cryptography. Therefore, we propose a new 3D model encryption algorithm based on 2D-LAIC, named 3DME-SC. For a 3D model of the floating-point data type, XOR and STP processing are applied to the integer part and fractional part, respectively, of the model to obtain a 3D ciphertext model. The keystream required for XOR and STP processing is generated by 2D-LAIC. The results of a detailed security analysis and a comparative experimental analysis show that 3DME-SC exhibits good performance and effectiveness. (Code: https://github.com/Gao5211996/3D-model-encryption)

Original languageEnglish
Article number108745
JournalSignal Processing
Volume202
DOIs
StatePublished - Jan 2023
Externally publishedYes

Keywords

  • 3D Model
  • Chaos
  • Image encryption
  • Semi-tensor product

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