UGC Approved Journal no 63975(19)

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

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1806139


Registration ID:
183141

Page Number

116-120

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Title

Cross breed Intrusion detection system based on Immuno pathology

Authors

Abstract

Wireless sensor network (WSN) refers to a group of low cost ,mini sensor nodes geographically deployed for monitoring and recording the physical conditions of the environment and aggregating the gathered data at a base location. Sensor nodes have self organizing ability, dynamic topology but they possess limited bandwidth, computing ability, limited battery power and storage space. Inspite of the above, sensor networks are being used widely and considered to be a boon where human interaction and wiring is impossible. As they are subject to various security attacks, Ensuring security is an important task in WSNs. In this research paper presented a tissue growing algorithms inherited from human immune pathology which does security enhancement by concentrating on effective node aggregation wherein malicious nodes are eliminated and then clustering is initiated in the first level of algorithm, second level of algorithm detects the multiple attacks .when both the algorithms are combined together,it provides a effective Intrusion detection system against attacks.

Key Words

Cell, tissue, cluster, Danger signal, dendritic cell.

Cite This Article

"Cross breed Intrusion detection system based on Immuno pathology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.116-120, June-2018, Available :http://www.jetir.org/papers/JETIR1806139.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

"Cross breed Intrusion detection system based on Immuno pathology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp116-120, June-2018, Available at : http://www.jetir.org/papers/JETIR1806139.pdf

Publication Details

Published Paper ID: JETIR1806139
Registration ID: 183141
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 116-120
Country: Banglore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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