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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	Study of data collection, intrusion and detection using fuzzy logic
Authors Name:	Nabonarayan Jha , Jaynarayan Jha , K. B. Singh
Unique Id:	IJSDR2009002
Published In:	Volume 5 Issue 9, September-2020
Abstract:	The design of a Network Intrusion Detection System (NIDS) is a delicate process which requires the successful completion of numerous design stages. The feature selection stage is one of the first steps that needs to be addressed, and can be considered among the top most important ones. If this step is not carefully considered the overall performance of the NIDS will greatly suffer, regardless of the detection technique, or any other algorithms that the NIDS is using. The most common approach for selecting the network features is to use expert knowledge to reason about the selection process. However, this approach is not deterministic, thus, in most cases researchers end-up with completely different sets of important features for the detection process. Furthermore, the lack of a generally accepted feature classification schema forces different researchers to use different names for the same (subsets of) features, or the same name for completely different ones. In this paper we present about the data collection, intrusion and detection using fuzzy system network.
Keywords:	NIDS, IDSS, AIIDS, HTML, ASP, PHP, JVM, OS, API, ABIDS, HIDS
Cite Article:	"Study of data collection, intrusion and detection using fuzzy logic", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.11 - 16, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009002.pdf
Downloads:	000337070
Publication Details:	Published Paper ID: IJSDR2009002 Registration ID:192397 Published In: Volume 5 Issue 9, September-2020 DOI (Digital Object Identifier): Page No: 11 - 16 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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