Open AccessLinear Congruential Pseudorandom Numbered Hybrid Crypto-System with Genetic Algorithms
Author(s) -
Reddaiah Buduri,
SrinivasaRao Kanusu,
Swetha Chinthakunta,
Amruthavani Godina,
Sivajyothi Siddavatam
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2092.1210220
Subject(s) - pseudorandom number generator , computer science , network security , hacker , computer security , genetic algorithm , linear congruential generator , computer network , algorithm , distributed computing , engineering , machine learning , mechanical engineering , magnet
While using networks that may be in any form more and more problems related to securityrises within the network as well as outside the network. To resolve the security problems network security is the science that facilitatesto safeguard the resources and the quality of the network and data. At different workstations filters and firewalls are used in protecting the resources. But while the data is in transmission security services are needed to protect. These services are to be altered frequently to prevent from attacks. In developing such system, this work uses linear congruential pseudorandom number with multiple genetic algorithms. In small business applications these types of hybrid systems can be used to prevent from hackers.