Security Enhancement of Public key Cryptography through Randomize the Seed value

Abstract

Cryptography is the art of securing information by applying encryption and
decryption on data to be transmitted which ensures that the original message can be
understood only by the right person A Random Number Generator (RNG) may be a machine
(or) physical device designed to get a sequence of numbers or symbols that lack pattern (i.e.)
seem indiscriminately. Computational Intelligence (CI) is one of the popular approaches of
Artificial Intelligence (AI). The purpose of CI is used to optimize the complex problems.
Optimization is used role in optimizing the objective function. The optimization algorithms
are mainly used to optimizing the numerical functions. Swarm Intelligence (SI), can be
defined as the pointed behavior of intelligent swarms. SI mainly comes under evolutionary
computing. Artificial Bee Colony (ABC) is one of the admired swarm intelligent approaches
which are used for optimizing the numerical functions to find the best solution out of the
solution space. Numerical function optimization plays an important. ABC is also known as
population-based search procedure. Also, the original ABC algorithm combines both local
search methods and global search methods that are being performed by the employed and
onlooker bees for balancing the exploration and exploitation capacity. This paper proposes
the concept of evolutionary algorithms, Artificial Bee Colony Algorithm (ABC). ABC focuses on
only the best possible solution. The Random key is generated using ABC which produces a
numeric key, it is important for a key to possess uncertainty for key force. The generated
random key results shaped by this algorithm to be tested for serial test and run test. This
method is observed to give quick and better performance results having sensible and possible
implementation.