Linear Congruential Pseudorandom Numbered Hybrid Crypto-System with Genetic Algorithms
Reddaiah Buduri1, Srinivasa Rao Kanusu2, Swetha Chinthakunta3, Amruthavani Godina4, Sivajyothi Siddavatam5
1ReddaiahBuduri*, Department of Computer Applications, Yogi Vemana University, Kadapa (Andhra Pradesh), India.
2Srinivasa Rao Kanusu, Department of Computer Applications, Yogi Vemana University, Kadapa (Andhra Pradesh), India.
3SwethaChinthakunta, Department of Computer Applications, Yogi Vemana University, Kadapa (Andhra Pradesh), India.
4AmruthavaniGodina, Department of Computer Applications, Yogi Vemana University, Kadapa (Andhra Pradesh), India.
5Sivajyothi Siddavatam, Research Scholar, Rayalaseema University, Kurnool (Andhra Pradesh), India.
Manuscript received on December 02, 2020. | Revised Manuscript received on December 05, 2020. | Manuscript published on December 30, 2020. | PP: 159-163 | Volume-10 Issue-2, December 2020. | Retrieval Number: 100.1/ijeat.B20921210220 | DOI: 10.35940/ijeat.B2092.1210220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Encryption, Decryption, Linear Congruential, Pseudorandom Number, Scramble Mutation, Uniform Crossover Functwion.