MA-DG: Learning Features of Sequences in Different Dimensions for Min-Entropy Evaluation via 2D-CNN and Multi-Head Self-Attention-Reference-Cited by-同舟云学术

MA-DG: Learning Features of Sequences in Different Dimensions for Min-Entropy Evaluation via 2D-CNN and Multi-Head Self-Attention

Published:2024 Issue: Volume:19 Page:7879-7894
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Huang Yilong¹^ORCID,Fan Fan²,Huang Chaofeng¹,Yang Haomiao³^ORCID,Gu Min¹^ORCID

Affiliation:

1. Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education), School of Physics, Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, School of Physics, Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, and Guangdong-Hong Kong Joint Laboratory of Quantum Matter, South China Normal University, Guangzhou, China

2. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. School of Computer Science and Engineering and the Center for Cyber Security, University of Electronic Science and Technology of China, Chengdu, China

Funder

Innovation Program for Quantum Science and Technology

Quantum Science Strategic Project of Guangdong Province

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10643187.pdf?arnumber=10643187

Reference45 articles.

1. A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks

2. Analysis and Enhancement of Random Number Generator in FPGA Based on Oscillator Rings

3. A mathematical and physical analysis of circuit jitter with application to cryptographic random bit generation;Coppock,2005

4. Various techniques used in connection with random digits;Von Neumann;Appl. Math. Ser.,1963

5. True random number generators in configurable logic devices;Fischer,2009