UGC Approved Journal no 63975

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1908C62


Registration ID:
301602

Page Number

483-486

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Title

An IDS For Attacks Classification Using Recurrent Neural Network For Classification

Abstract

In modern life, networks play a significant role, and cybersecurity has been a core field of study. A cyber-security-important intrusion detection system (IDS) monitors the network’s state of software & hardware. Despite decades of growth, there are still challenges for current IDSs to boost detector accuracy, reduce false alarm rates, and detect unknown attacks. Many researchers have been working to create IDSs that force machine learning (ML) methods to solve the above problems. The critical variations between normal data or abnormal data can be found through machine learning procedures with high precision. Deep learning (DL) is an area that has remarkable performance and has become a center of research. In this research, we have used an efficient Neural Network method as the taxonomy of the IDS attacks. The results are remarkable with Recurrent Neural Network (RNN) on the NSL-KDD dataset using python as the simulation tool.

Key Words

Network Security; Intrusion Detection System Machine Learning; RNN; NSL-KDD

Cite This Article

"An IDS For Attacks Classification Using Recurrent Neural Network For Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.483-486, June-2019, Available :http://www.jetir.org/papers/JETIR1908C62.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

"An IDS For Attacks Classification Using Recurrent Neural Network For Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp483-486, June-2019, Available at : http://www.jetir.org/papers/JETIR1908C62.pdf

Publication Details

Published Paper ID: JETIR1908C62
Registration ID: 301602
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 483-486
Country: Gwalior, Madhya pradesh, India .
Area: Engineering
ISSN Number: 2349-5162


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