PRNG

La formación de profesionales con capacidad crítica ha sido un tema de interés no sólo como iniciativa particular de las instituciones de Educación Superior, sino también para la Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura (UNESCO), la que en diferentes ocasiones ha formulado como uno de los principios orientadores para las universidades el desarrollo de competencias en este sentido. Este interés es el resultado del reconocimiento de la evolución de la educación superior y los grandes desafíos que se le plantean como resultado del desarrollo de las nuevas tecnologías de la información y la comunicación.

A remarkable correlation between chaotic systems and cryptography has been established with sensitivity to initial states, unpredictability, and complex behaviors. In one development, stages of a chaotic stream cipher are applied to a discrete chaotic dynamic system for the generation of pseudorandom bits. Some of these generators are based on 1D chaotic map and others on 2D ones. In the current study, a pseudorandom bit generator (PRBG) based on a new 2D chaotic logistic map is proposed that runs sideby-side and commences from random independent initial states. The structure of the proposed model consists of the three components of a mouse input device, the proposed 2D chaotic system, and an initial permutation (IP) table. Statistical tests of the generated sequence of bits are investigated by applying five evaluations as well as the ACF and NIST. The results of five standard tests of randomness have been illustrated and overcome a value of 0.160 in frequency test. While the run test presents the pass value t0=4.769 and t1=2.929. Likewise, poker test and serial test the outcomes was passed with 3.520 for poker test, and 4.720 for serial test. Finally, autocorrelation test passed in all shift numbers from 1 to 10.

Cloud computing becomes the next generation architecture of IT Enterprise. Clouds are massively complex systems. They can be reduced to simple primitives, that are replicated thousands of times, and common functional units. The complexity of cloud computing create many issues related to security as well as all aspects of Cloud computing. One of the most important issues is data security. Clouds typically have a single security architecture but has many customers with different demands. The main focus of the proposed work is the data storage security in the cloud and the desktop. Generally, Data security is an important factor for both cloud computing and traditional desktop applications. This is to obtain the highest possible level of privacy. Modern Encryption algorithms play the main role in data security of cloud computing. We present an evaluation for selected eight modern encryption techniques namely: RC4, RC6, MARS, AES, DES, 3DES, Two-Fish, and Blowfish at two independent pla...

Elliptic Curve Digital Signature Algorithm (ECDSA) provides several security services for resource-constrained embedded devices. It can be the target of attacks as Side-channel attacks. The ECDSA level security can be enhanced by tuning several parameters as key size and the security level of each ECDSA elementary modules such as point multiplication, hash function and pseudo random number generators (PRNG). This paper presents conception and hardware implementation of ECDSA taking in consideration requirements related to correlation between key size and security level according to academic and private organizations. In this work, we have considered a key size equal to 233 bit, Montgomery point multiplication technique and hashing functions SHA-224. The ECDSA design is implemented on a reconfigurable hardware platform (Xilinx xc6vlx760-2ff1760). We used the hardware description language VHDL for compartmental validation. The implementation results illustrate security evaluation and hardware performances in terms of time computation and area occupation.

Random numbers are used for many purposes like generating data encryption keys, simulating and modeling complex phenomena and for selecting samples randomly from larger datasets. They can also used in literature, music and popular for games and gambling. While discussing about single numbers, a random number is one that is drawn from a set of possible values, each of which is equally probable, i.e. uniform distribution. When we are discussing a sequence of random numbers the number drawn must be statistically independent of the others. There are various methods for the generation of Random numbers. There are two types of Random number generators they are Pseudo random number Generator (PRNG) and True Random Number Generator (TRNG). Numbers generated from True Random Number generator will not repeat and are Cryptographically Secured. These are also known as cryptographically secured Pseudo random Numbers (CSPRNG). The sources of Randomness in TRNG are physical phenomena like Lightning, Radio Active Decay, and Thermal Noise etc. In this paper generation of Cryptographically Secured Pseudo Random Numbers using Blum Blum Shub Generator is explained. It was implemented on Virtex-V FPGA using VHDL Programming Language and the Simulation was done on XILINX ISE 12.4i.