Modelling of Random Number Generator based on PUFs and LFSR for secret key generation

2021 ◽  
Author(s):  
Remya Krishnan ◽  
Anu Chalil
Keyword(s):  
Random Number ◽  
Random Number Generator ◽  
Key Generation ◽  
Number Generator ◽  
Secret Key ◽  
Secret Key Generation

scholarly journals Digital Image Encryption using AES and Random Number Generator

2018 ◽  
Vol 14 (1) ◽  
pp. 80-89
Author(s):  
Noor Jumaa
Keyword(s):  
Random Number ◽  
Signal To Noise Ratio ◽  
Random Number Generator ◽  
Rapid Evolution ◽  
Absolute Error ◽  
Digital Data ◽  
Linear Feedback ◽  
Number Generator ◽  
Secret Key ◽  
Encryption Decryption

In nowadays world of rapid evolution of exchanging digital data, data protection is required to protect data from the unauthorized parities. With the widely use of digital images of diverse fields, it is important to conserve the confidentiality of image’s data form any without authorization access. In this paper the problem of secret key exchanging with the communicated parities had been solved by using a random number generator which based on Linear Feedback Shift Register (LFSR). The encryption/decryption is based on Advance Encryption Standard (AES) with the random key generator. Also, in this paper, both grayscale and colored RGB images have been encrypted/decrypted. The functionality of proposed system of this paper, is concerned with three features: First feature, is dealing with the obstetrics of truly random and secure encryption key while the second one deals with encrypting the plain or secret image using AES algorithm and the third concern is the extraction the original image by decrypting the encrypted or cipher one. “Mean Square Error (MSE)”, “Peak Signal to Noise Ratio (PSNR)”, “Normalized Correlation (NK)”, and “Normalized Absolute Error (NAE)” are measured for both (original-encrypted) images and (original-decrypted) image in order to study and analyze the performance of the proposed system according to image quality features.

scholarly journals An Intrusion Resistant SCADA Framework Based on Quantum and Post-Quantum Scheme

2021 ◽  
Vol 11 (5) ◽  
pp. 2082
Author(s):  
Sagarika Ghosh ◽  
Marzia Zaman ◽  
Gary Sakauye ◽  
Srinivas Sampalli
Keyword(s):  
Random Number ◽  
Quantum Algorithms ◽  
Statistical Tests ◽  
Random Number Generator ◽  
Quantum Signature ◽  
Probabilistic Model Checking ◽  
Number Generator ◽  
Secret Key ◽  
Scada Security ◽  
Security Standards

The rapid emergence of quantum computing threatens current Supervisory Control and Data Acquisition (SCADA) security standards, mainly, American Gas Association (AGA)-12. Therefore, researchers are developing various security schemes based on either quantum or post-quantum algorithms. However, the efficiency of quantum algorithms impacts the security of the post-quantum digital signature scheme. We propose an intrusion resistant algorithm exploiting and applying quantum principles in the post-quantum signature algorithm. We use the Bennett 1992 (B92) protocol, a quantum key distribution scheme, to obtain the cipher, and the practical Stateless Hash-based Signatures (SPHINCS)-256 protocol to obtain a post-quantum signature. However, instead of Chacha-12, a well-known cryptographically secure pseudo-random number generator, we apply a quantum random number generator to obtain a truly random Hash to Obtain Random Subset (HORS) signature with Tree (HORST) secret key used in SPHINCS-256. We have implemented the design in Python with the Quantum Information Toolkit. We have validated the proposed algorithm using the Probabilistic Model Checking for Performance and Reliability Analysis (PRISM) and Scyther tools. Moreover, the National Institute of Standards and Technology (NIST) statistical tests show that the proposed algorithm key pairs have randomness of 98% and RSA and ECDSA are below 96%.

scholarly journals Analisis Pola Identifikasi Zero Knowledge Proof Dengan Algoritma Feige Fiat Shamir Menggunakan Blum Blum Shub

2021 ◽  
pp. 7-12
Author(s):  
Cherlina Helena Purnamasari Panjaitan ◽  
Lisda Juliana Pangaribuan
Keyword(s):  
Random Number ◽  
Random Number Generator ◽  
Public Key ◽  
Key Generation ◽  
Number Generator ◽  
Zero Knowledge ◽  
The Public ◽  
Public Keys ◽  
Generation Test ◽  
Zero Knowledge Proof

Protocol Zero Knowledge Proof is one of the protocols in Cryptography that has a fairly good level of security, because it applies the concept of "Truly Zero Knowledge Proof" which is not leaking any information. This protocol is used in the Fiat Shamir, Guillou Quisquater and Schnorr Feige Algorithms, all of which are Cryptographic Algorithms using private keys and public keys. In the Public key, all three of these Algorithms use a random number generator at the values p and q to get the public key. In this study, the author will generate a public key generation test using CPRNG (Cryptographically-secure Pseudo-Random Number Generator) with the Blum Blum Shub algorithm. The test will be conducted on the Fiat Feige Algorithm, the formation of the key will use the Blum Blum Shub Algorithm, but the Identification Protocol still uses the Fiat Shamir Feige Algorithm. The results of this study show the Feige Fiat Algorithm with the Blum Blum Shub Algorithm as the key builder successfully identifies the pattern sent by the signer.

Fuzzy Based Pseudo Random Number Generator used for Wireless Networks

2013 ◽  
Vol 16 (2) ◽  
pp. 210-216 ◽  
Author(s):  
Sattar B. Sadkhan ◽  
◽  
Sawsan K. Thamer ◽  
Najwan A. Hassan ◽  
◽  
...  
Keyword(s):  
Wireless Networks ◽  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
Pseudo Random Number ◽  
Pseudo Random Number Generator

0.4 mW, 0.27 pJ/bit true random number generator using jitter, metastability and current starved topology

2020 ◽  
Vol 14 (7) ◽  
pp. 1001-1011
Author(s):  
Dhirendra Kumar ◽  
Rahul Anand ◽  
Sajai Vir Singh ◽  
Prasanna Kumar Misra ◽  
Ashok Srivastava ◽  
...  
Keyword(s):  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
True Random Number Generator
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