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Document details - Interfacing of Neural Network in Cryptography and Security Mechanisms of System

Journal Volume 10, Issue 12, December 2021, Article 17023362 Dr. Aruna J. Chamatkar, Prof. Sachin Y. Zade , Dr. Pradeep K .Butey , " Interfacing of Neural Network in Cryptography and Security Mechanisms of System" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 10, Issue 12, December 2021 , pp. 029-035 , ISSN 2319 - 4847.

Interfacing of Neural Network in Cryptography and Security Mechanisms of System

    Dr. Aruna J. Chamatkar, Prof. Sachin Y. Zade , Dr. Pradeep K .Butey

Abstract

Abstract The main issue with wireless network security is its simplified access to the network compared to traditional wired networks such as Ethernet. With wired networking it is necessary to either gain access to a building, physically connecting into the internal network, or break through an external firewall. Most business networks protect sensitive data and systems by attempting to disallow external access. Thus being able to get wireless reception provides an attack vector, if encryption is not used or can be defeated. One most important Artificial Neural Network (ANN) has its adaptive in nature and hence many existing paradigms can be fused into it easily. Pattern mapping technique of artificial neural networks is also useful in generating the encrypted passwords without going with any standard encryption algorithm. ANN can easily be utilized for establishing the relationship between the input pattern in the form of password code and output pattern in the form of encrypted password. In this paper we review on security issues and challenges in IT and studies how neural network is interfacing cryptography. Methods of security like cryptography and how neural networks are effective in terms of reducing complexity and increasing speed and accuracy in a security system. Neural networks provide a number of advantages in the detection of these attacks. Keywords: ANN, Cryptography, Neural Network, Computer Security

  • ISSN: 23194847
  • Source Type: Journal
  • Original language: English

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