Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hybrid Isolation Forest - Application to Intrusion Detection   From the identification of a drawback in the Isolation Forest (IF) algorithm
that limits its use in the scope of anomaly detection, we propose two
extensions that allow to firstly overcome the previously mention limitation and
secondly to provide it with some supervised learning capability. The resulting
Hybrid Isolation Forest (HIF) that we propose is first evaluated on a synthetic
dataset to analyze the effect of the new meta-parameters that are introduced
and verify that the addressed limitation of the IF algorithm is effectively
overcame. We hen compare the two algorithms on the ISCX benchmark dataset, in
the context of a network intrusion detection application. Our experiments show
that HIF outperforms IF, but also challenges the 1-class and 2-classes SVM
baselines with computational efficiency.

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The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys