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Information encryption communication system based on the adversarial networks Foundation

  • Zhengze Li
  • , Xiaoyuan Yang*
  • , Kangqing Shen
  • , Ridong Zhu
  • , Jin Jiang
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

We propose an encryption communication system based on the adversarial networks, called Adversar; Network Encryption System (ANES), which contains Sender, Receiver and various Attackers. Using a general loss function, we design three types of ANES with different Attackers, which simulate different password attacks on communications. Through the one-to-one adversarial training between Sender and these all Attackers, ANES can frequently master One Time Pad (OTP) algorithms without human cognition. We find that the more and stronger the opponents ANES encountered, the higher the probability of learning OTP. We also present a more aggressive attack network based on Chosen Ciphertext Attack (CCA) as the antagonist of Sender and Receiver, and finally the system learns OTP with a considerable probability. Experimental results demonstrate that our encryption strategy is comparable to other related works.

Original languageEnglish
Pages (from-to)347-357
Number of pages11
JournalNeurocomputing
Volume415
DOIs
StatePublished - 20 Nov 2020

Keywords

  • Adversarial loss
  • Chosen ciphertext attack
  • Convolutional neural network
  • Encryption system
  • One Time Pad

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