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Privacy Concern Code Generation Using Crypto Neural Scheme

Anaswara Venunadh1 , Shruthi N2 , Mannar Mannan3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 824-828, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.824828

Online published on May 31, 2019

Copyright © Anaswara Venunadh, Shruthi N, Mannar Mannan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anaswara Venunadh, Shruthi N, Mannar Mannan, “Privacy Concern Code Generation Using Crypto Neural Scheme,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.824-828, 2019.

MLA Style Citation: Anaswara Venunadh, Shruthi N, Mannar Mannan "Privacy Concern Code Generation Using Crypto Neural Scheme." International Journal of Computer Sciences and Engineering 7.5 (2019): 824-828.

APA Style Citation: Anaswara Venunadh, Shruthi N, Mannar Mannan, (2019). Privacy Concern Code Generation Using Crypto Neural Scheme. International Journal of Computer Sciences and Engineering, 7(5), 824-828.

BibTex Style Citation:
@article{Venunadh_2019,
author = {Anaswara Venunadh, Shruthi N, Mannar Mannan},
title = {Privacy Concern Code Generation Using Crypto Neural Scheme},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {824-828},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4320},
doi = {https://doi.org/10.26438/ijcse/v7i5.824828}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.824828}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4320
TI - Privacy Concern Code Generation Using Crypto Neural Scheme
T2 - International Journal of Computer Sciences and Engineering
AU - Anaswara Venunadh, Shruthi N, Mannar Mannan
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 824-828
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Frequent imagination by cryptosystem designers that secrets will be manipulated in closed reliable computing environments. Unfortunately, computers and micro systems leak information about the operations they process. This paper examines self-organising neural network to securely transfer data through a given network. We also discuss approaches for building cryptosystems that can operate securely in existing system that leaks.

Key-Words / Index Term

Cryptography, code generation, key management, self-organizing neural networks, encryption, decryption (key words)

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