A Machine Learning Approach to Detect Novelty in a Network using Patricia Tree
Ananya Dey
, Hamsashree Reddy R , Madhusoodhana Chari
Patricia Tree, K means clustering algorithm, ID3Algorithm, Prediction Probability algorithm.
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.
"A Machine Learning Approach to Detect Novelty in a Network using Patricia Tree ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 10, page no.23 - 28, October-2019, Available :https://ijsdr.org/papers/IJSDR1910005.pdf
Volume 4
Issue 10,
October-2019
Pages : 23 - 28
Paper Reg. ID: IJSDR_191029
Published Paper Id: IJSDR1910005
Downloads: 000347042
Research Area: Engineering
Country: BANGALORE, KARNATAKA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
