access journal /Cryptography/ (https://www.mdpi.com/journal/cryptography)
in the past 2 years, which are free to access and can be downloaded here:
1. Why Is Deep Learning Challenging for Printed Circuit Board (PCB)
Component Recognition and How Can We Address It?
https://www.mdpi.com/2410-387X/5/1/9
2. Designing a Practical Code-Based Signature Scheme from Zero-Knowledge
Proofs with Trusted Setup
https://www.mdpi.com/2410-387X/6/1/5
3. Variations of QKD Protocols Based on Conventional System
Measurements: A Literature Review
https://www.mdpi.com/2410-387X/6/1/12
4. Towards Accurate Run-Time Hardware-Assisted Stealthy Malware
Detection: A Lightweight, yet Effective Time Series CNN-Based Approach
https://www.mdpi.com/2410-387X/5/4/28
5. TRNGs from Pre-Formed ReRAM Arrays
https://www.mdpi.com/2410-387X/5/1/8
It would be highly appreciated if you could share the information to
your colleagues, friends and any scholars you know in this field. Thanks
in advance for your help.
Best regards,
Xue Cheng
Managing Editor
--
MDPI Branch Office, Wuhan
Cryptography Editorial Office
https://www.mdpi.com/journal/cryptography
MDPI, St. Alban-Anlage 66, 4052 Basel, Switzerland
News: Cryptography will receive Impact Factor June 2023
Highly Cited Papers:
Why Is Deep Learning Challenging for Printed Circuit Board (PCB)
Component Recognition and How Can We Address It?
https://www.mdpi.com/2410-387X/5/1/9
A New Class of Q-Ary Codes for the McEliece Cryptosystem
https://www.mdpi.com/2410-387X/5/1/11
Twitter: @Cryptogr_MDPI https://twitter.com/Cryptogr_MDPI
Disclaimer: The information and files contained in this message are
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to whom they are addressed. If you have received this message in error,
please notify me and delete this message from your system. You may not
copy this message in its entirety or in part, or disclose its contents
to anyone.
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