The Modular Inversion in GF(p) by Self-assembling and Its Application to Elliptic Curve Diffie-Hellman Key Exchange

2014 ◽  
pp. 57-62
Author(s):  
Zhen Cheng ◽  
Yufang Huang
Keyword(s):  
Elliptic Curve ◽  
Key Exchange ◽  
Self Assembling ◽  
Diffie Hellman ◽  
Diffie Hellman Key Exchange ◽  
Modular Inversion

scholarly journals Network Security System with Optimized Randomized Multiple Key Exchange Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 1075-1080
Keyword(s):  
Network Security ◽  
Elliptic Curve ◽  
Key Exchange ◽  
Memory Requirement ◽  
Secret Key ◽  
Diffie Hellman ◽  
Shared Secret ◽  
Security Properties ◽  
Diffie Hellman Key Exchange ◽  
Shared Secret Key

This paper illustrates three different algorithms to provide shared secret key for security of the system. The proposed three algorithms namely 1) Modified Simple Password Key Exchange Scheme 2) Modified Diffie-Hellman Key exchange Scheme 3) Modified Elliptic Curve Scheme are meant to provide shared secret key for authentication process. Enhancements in terms of memory requirement, storage and other security properties such as authentication among mutual users, fraud prevention, attack etc., prove the validity of the proposed algorithms in proving authentication for the cryptographic identification of networks

Algorithm for Elliptic Curve Diffie-Hellman Key Exchange Based on DNA Tile Self-Assembly

2010 ◽  
Vol 7 (5) ◽  
pp. 856-861
Author(s):  
Zhen Cheng ◽  
Yufang Huang ◽  
Zhihua Chen ◽  
Xiaolong Shi ◽  
Jin Xu
Keyword(s):  
Elliptic Curve ◽  
Self Assembly ◽  
Key Exchange ◽  
Diffie Hellman ◽  
Diffie Hellman Key Exchange

Research on psychological stress intervention of college students based on Diffie-hellman key exchange algorithm

2021 ◽  
pp. 1-7
Author(s):  
Yibo Liu ◽  
Xuejing Hao ◽  
Yanjun Mao
Keyword(s):  
College Students ◽  
Psychological Stress ◽  
Original Data ◽  
Key Exchange ◽  
Psychological Burden ◽  
Exchange Algorithm ◽  
Diffie Hellman ◽  
Stress Intervention ◽  
Psychological Pressure ◽  
Diffie Hellman Key Exchange

At present, the mental health of college students has also become an important issue that urgently needs attention under the influence of the surrounding environment. It is coupled with the grim employment situation after graduation and the students’ psychological burden is becoming more and heavier. This paper based on Diffie-Hellman key exchange algorithm studied the effect of psychological stress intervention. First, the Diffie-Hellman key exchange algorithm was analyzed, and then the Diffie-Hellman prediction model was established according to the psychological pressure of college students. Secondly, the simulation test was conducted to compare the simulated results with the original data. The conclusion of the data fitting of the network model training set, verification set and test set were good and the error was very small. Finally, the detailed application of the algorithm and the model were described.

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