UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFH06015


Registration ID:
318861

Page Number

84-89

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Title

A Review Paper on Cyber Security System Based on CNN and RNN

Authors

Abstract

The government, military, business, financial, and medical organizations acquire procedures and store enormous amounts of data on PCs and other devices, cybersecurity is becoming increasingly important in a variety of areas, including government, military, and so on. A large portion of the data might be sensitive data, such as scholarly, financial, or personal data, or other types of data for which unauthorized access or introduction could have severe consequences. Using deep learning methods, the author can uncover attack types using this methodology. Work area application that detects a web application assault and delivers a notification to the webserver system. It is possible to get many comparable results with less preparatory time by using Gated Recurrent Units instead of traditional LSTM systems. Improved irregularity IDS is achieved by combining stacked CNNs with GRUs. Interruption detection relies on a language model built on regular call arrangements from the ADFA Data set of system call traces to determine the chance of a certain call grouping occurring.

Key Words

Convolutional Neural Network (CNN), Cyber-attack, Deep learning, Neural Networks, Recurrent Neural Network (RNN).

Cite This Article

"A Review Paper on Cyber Security System Based on CNN and RNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.84-89, September 2018, Available :http://www.jetir.org/papers/JETIRFH06015.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Review Paper on Cyber Security System Based on CNN and RNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp84-89, September 2018, Available at : http://www.jetir.org/papers/JETIRFH06015.pdf

Publication Details

Published Paper ID: JETIRFH06015
Registration ID: 318861
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 84-89
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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