Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Collaborative Anomaly Detection Framework for handling Big Data of Cloud
  Computing   With the ubiquitous computing of providing services and applications at
anywhere and anytime, cloud computing is the best option as it offers flexible
and pay-per-use based services to its customers. Nevertheless, security and
privacy are the main challenges to its success due to its dynamic and
distributed architecture, resulting in generating big data that should be
carefully analysed for detecting network vulnerabilities. In this paper, we
propose a Collaborative Anomaly Detection Framework CADF for detecting cyber
attacks from cloud computing environments. We provide the technical functions
and deployment of the framework to illustrate its methodology of implementation
and installation. The framework is evaluated on the UNSW-NB15 dataset to check
its credibility while deploying it in cloud computing environments. The
experimental results showed that this framework can easily handle large-scale
systems as its implementation requires only estimating statistical measures
from network observations. Moreover, the evaluation performance of the
framework outperforms three state-of-the-art techniques in terms of false
positive rate and detection rate.

20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th