원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 7th International Conference on Next Generation Computing 2021
2021.11
pp.272-273
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The ciphertexts obtained by traditional encryption techniques is not totally random sequence forms. Many cryptanalytic studies based on mathematical analysis such as linear cryptanalysis and differential cryptanalysis have been conducted. Recently, deep learning-based cryptanalysis have been proposed to show more powerful attacks than the other mathematical-based approaches. In this paper, we propose a new automated deep learning-based approach to break encryption algorithms with Feistel structure.
목차
Abstract
I. INTRODUCTION
II. BACKGROUNDS AND RELATED WORKS
A. Backgrounds
B. Related works
III. OUR MODEL
IV. EXPERIMENTS
V. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
I. INTRODUCTION
II. BACKGROUNDS AND RELATED WORKS
A. Backgrounds
B. Related works
III. OUR MODEL
IV. EXPERIMENTS
V. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보