Article citationsMore>>

Zheng, M.Y., Xu, D.X., Jiang, L.S., Gu, C.J., Tan, R. and Cheng, P. (2019) Challenges of Privacy-Preserving Machine Learning in IoT. Proceedings of the 1st International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, New York, November 2019, 1-7.
https://doi.org/10.1145/3363347.3363357

has been cited by the following article:

• TITLE: Image Encryption and Decryption Based on Chaotic Algorithm

  AUTHORS: Yue Hu, Ruyue Tian

  KEYWORDS: Chaos Algorithm, Image Encryption and Decryption, Two-Stage Logistic Mapping, M Sequence

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.8 No.9, September 15, 2020

  ABSTRACT: This paper analyzes the problems in image encryption and decryption based on chaos theory. This article introduces the application of the two-stage Logistic algorithm in image encryption and decryption, then by information entropy analysis it is concluded that the security of this algorithm is higher compared with the original image; And a new image encryption and decryption algorithm based on the combination of two-stage Logistic mapping and M sequence is proposed. This new algorithm is very sensitive to keys; the key space is large and its security is higher than two-stage Logistic mapping of image encryption and decryption technology.