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
Internet Traffic Classification by Aggregating Correlated Naïve Bayes Predictions
Authors Name:
Sandhya R. M.
, Shanoor. M. Mayannavar , Pramod M. Murari , S. G. Gollagi , Y. M. Nayak
Unique Id:
IJSDR1706033
Published In:
Volume 2 Issue 6, June-2017
Abstract:
with the current advancement in the usage of online applications and services, the concept of network security has fascinated many researchers particularly in the field of intrusion detection. The private data being sensitive if manipulated or intruded leads to severe issues resulting in disruption of the services. This demands to take required preventive measures to safeguard the sensitive information that flows through the internet traffic. Thus traffic that regularly flows through to traffic needs to be analyzed and classified to identify the patterns that might lead to denial of service or attacks or worm propagations etc. Here we use naive Bayes (NB) classification methods applied in Internet traffic classification, which is a simple and effective probabilistic classifier employing the Bayes’ theorem with naive feature independence assumptions This paper proposes a mechanism for false positive/negative assessment with multiple IDSs/IPSs to collect FP and FN cases from real-world traffic and statistically analyze these cases.
Keywords:
naive Bayes (NB) classification,quality of service (QoS) control, traffic classification, feature discretization, intrusion detection and prevetion system, probabilistic classifier
Cite Article:
"Internet Traffic Classification by Aggregating Correlated Naïve Bayes Predictions", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.241 - 247, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706033.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR1706033
Registration ID:170499
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 241 - 247
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn