An original data encryption technique for communication networks
by A. Rajasekar; A. Karunakaran; C. Sivakumaran; Sheshang Dipakkumar Degadwala
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 16, No. 1, 2024

Abstract: A novel secure distribution technique of network communication data is developed based on data encryption algorithm to address the issues of poor transfer effectiveness and high transmission bit error rate in previous transmission methods. In order to design the cipher text protocol, the access to network communication data is controlled by the agentless key publishing protocol. According to the experimental simulation findings in this work, the SM2 method (Supermemo2) can produce a 256-bit key very rapidly. The research's findings indicate that using link cryptographic algorithms in network communication security can increase security by 25%. The original deep learning chaotic encryption algorithm's performance flaw is optimised in this research. For wireless communication security, a chaotic neural network approach with dynamic keys is suggested. The experimental findings demonstrate that the technique suggested in this study significantly improves the speed of encryption and decryption as well as the key's capacity to resist decoding.

Online publication date: Fri, 12-Jan-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Security and Digital Forensics (IJESDF):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com