INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A Machine Learning Approach to Detect Novelty in a Network using Patricia Tree
Authors Name:
Ananya Dey
, Hamsashree Reddy R , Madhusoodhana Chari
Unique Id:
IJSDR1910005
Published In:
Volume 4 Issue 10, October-2019
Abstract:
The internet has been one of the biggest revolutions in the history of mankind. Recent increase in the use of the internet has however led to an increase in the utilization of the network and hence increase in internet traffic. This has also led the network to become more vulnerable to attacks. In this paper, we have proposed a solution that considers the IP Addresses of a network. A Patricia tree is then constructed using these IP addresses and a novelty is determined in the network after analyzing the Patricia trees constructed with the help of the IP addresses. We then use K means clustering algorithm to determine the novelty in the network.
Keywords:
Patricia Tree, K means clustering algorithm, ID3Algorithm, Prediction Probability algorithm.
Cite Article:
"A Machine Learning Approach to Detect Novelty in a Network using Patricia Tree ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 10, page no.23 - 28, October-2019, Available :http://www.ijsdr.org/papers/IJSDR1910005.pdf
Downloads:
000337067
Publication Details:
Published Paper ID: IJSDR1910005
Registration ID:191029
Published In: Volume 4 Issue 10, October-2019
DOI (Digital Object Identifier):
Page No: 23 - 28
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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