Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting network anomalies using machine learning and SNMP-MIB dataset
  with IP group   SNMP-MIB is a widely used approach that uses machine learning to classify
data and obtain results, but using SNMP-MIB huge dataset is not efficient and
it is also time and resources consuming. In this paper, a REP Tree,
J48(Decision Tree) and Random Forest classifiers were used to train a model
that can detect the anomalies and predict the network attacks that my affect
the Internet Protocol(IP) group. This trained model can be used in the devices
that are used to detect the anomalies such as intrusion detection systems.

14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess